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}, - "16": { - "choice": 0.8227832975494558, - "duplicate": 0, - "loop": 0.7418709436043187, - "lt_dependency": 0.07350602138529651, - "mode": 10, - "num_traces": 8292, - "or": 0, - "parallel": 0.5961215119591207, - "sequence": 0.8156598415054525, - "silent": 0.9565227983759916 - }, - "17": { - "choice": 0.8395654584238159, - "duplicate": 0, - "loop": 0.2899788929506455, - "lt_dependency": 0.5709354396645094, - "mode": 7, - "num_traces": 6782, - "or": 0, - "parallel": 0.23085081631421214, - "sequence": 0.8822921651400499, - "silent": 0.4296164980725979 - }, - "18": { - "choice": 0.10613026303513065, - "duplicate": 0, - "loop": 0.04879591433177747, - "lt_dependency": 0.6955473981763196, - "mode": 15, - "num_traces": 56, - "or": 0, - "parallel": 0.5765293867329646, - "sequence": 0.4025406834385148, - "silent": 0.647550297237341 - }, - "19": { - "choice": 0.37503791895435445, - "duplicate": 0, - "loop": 0.6087970645475955, - "lt_dependency": 0.4201203645695233, - "mode": 19, - "num_traces": 210, - "or": 0, - "parallel": 0.5803957610736585, - "sequence": 0.30446258134658233, - "silent": 0.5063111381074352 - }, - "20": { - "choice": 0.6635718021177582, - "duplicate": 0, - "loop": 0.29717683113833965, - "lt_dependency": 0.6218352747088531, - "mode": 11, - "num_traces": 1363, - "or": 0, - "parallel": 0.3052995026964705, - "sequence": 0.5742652615942522, - "silent": 0.5949640336356915 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Initial Design: Sobol", - "3": "Initial Design: Sobol", - "4": "Initial Design: Sobol", - "5": "Initial Design: Sobol", - "6": "Acquisition Function Maximizer: Random Search (sorted)", - "7": "Acquisition Function Maximizer: Random Search (sorted)", - "8": "Acquisition Function Maximizer: Random Search (sorted)", - "9": "Acquisition Function Maximizer: Random Search (sorted)", - "10": "Acquisition Function Maximizer: Random Search (sorted)", - "11": "Acquisition Function Maximizer: Random Search (sorted)", - "12": "Acquisition Function Maximizer: Random Search (sorted)", - "13": "Acquisition Function Maximizer: Random Search (sorted)", - "14": "Acquisition Function Maximizer: Random Search (sorted)", - "15": "Acquisition Function Maximizer: Random Search (sorted)", - "16": "Acquisition Function Maximizer: Random Search (sorted)", - "17": "Acquisition Function Maximizer: Random Search (sorted)", - "18": "Acquisition Function Maximizer: Random Search (sorted)", - "19": "Acquisition Function Maximizer: Random Search (sorted)", - "20": "Random Search" - } -} \ No newline at end of file diff --git a/smac3_output/07ecbfc3dc7bfceedce234fe2b508af8/0/scenario.json b/smac3_output/07ecbfc3dc7bfceedce234fe2b508af8/0/scenario.json deleted file mode 100644 index 15bdd225d67dff4e8b411f7431bbd2e87e6a0b70..0000000000000000000000000000000000000000 --- a/smac3_output/07ecbfc3dc7bfceedce234fe2b508af8/0/scenario.json +++ /dev/null @@ -1,178 +0,0 @@ -{ - "name": "07ecbfc3dc7bfceedce234fe2b508af8", - "deterministic": true, - "objectives": [ - "epa_normalized_sequence_entropy" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 20, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00\\xa0\\x01t\\x02\\xa1\\x01\\x01\\x00t\\x03|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00d\\nd\\x0b\\x9c\\x0cd\\x0c\\x8d\\x01}\\x03t\\x00\\xa0\\x01t\\x02\\xa1\\x01\\x01\\x00t\\x04|\\x03d\\r|\\x01d\\r\\x19\\x00i\\x01d\\x0c\\x8d\\x02}\\x04t\\x00\\xa0\\x01t\\x02\\xa1\\x01\\x01\\x00|\\x00\\xa0\\x05|\\x04\\xa1\\x01}\\x05|\\x05S\\x00'" - }, - "model": { - "name": "RandomForest", - "types": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ], - "bounds": [ - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ] - ], - "pca_components": 7, - "n_trees": 10, - "n_points_per_tree": -1, - "ratio_features": 1.0, - "min_samples_split": 2, - "min_samples_leaf": 1, - "max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 5, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - }, - "version": "2.0.2" - }, - "output_directory": "smac3_output/07ecbfc3dc7bfceedce234fe2b508af8/0" -} \ No newline at end of file diff --git a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/configspace.json b/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/configspace.json deleted file mode 100644 index 262e7029d5680bb92964d08ca5fb6acdf55ba84a..0000000000000000000000000000000000000000 --- a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 40, - "default": 22, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 1001, - "default": 550, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "silent", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - } - ], - "conditions": [], - "forbiddens": [], - "python_module_version": "0.6.1", - "json_format_version": 0.4 -} \ No newline at end of file diff --git a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/intensifier.json b/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/intensifier.json deleted file mode 100644 index ef0b6a589429b8ee03d08972619b5e0e02960c8f..0000000000000000000000000000000000000000 --- a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/intensifier.json +++ /dev/null @@ -1,122 +0,0 @@ -{ - "incumbent_ids": [ - 1, - 15, - 18 - ], - "rejected_config_ids": [ - 13, - 14 - ], - "incumbents_changed": 5, - "trajectory": [ - { - "config_ids": [ - 1 - ], - "costs": [ - [ - 0.00867577819307963, - 0.0027558076636298497 - ] - ], - "trial": 1, - "walltime": 1.3122780323028564 - }, - { - "config_ids": [ - 1, - 13 - ], - "costs": [ - [ - 0.00867577819307963, - 0.0027558076636298497 - ], - [ - 0.0018672556795386042, - 0.008071380400834657 - ] - ], - "trial": 13, - "walltime": 3.8615407943725586 - }, - { - "config_ids": [ - 1, - 13, - 14 - ], - "costs": [ - [ - 0.00867577819307963, - 0.0027558076636298497 - ], - [ - 0.0018672556795386042, - 0.008071380400834657 - ], - [ - 0.05197768126507163, - 0.001655997135938581 - ] - ], - "trial": 14, - "walltime": 6.54251503944397 - }, - { - "config_ids": [ - 1, - 14, - 15 - ], - "costs": [ - [ - 0.00867577819307963, - 0.0027558076636298497 - ], - [ - 0.05197768126507163, - 0.001655997135938581 - ], - [ - 0.001044840657314805, - 0.006689670837079269 - ] - ], - "trial": 15, - "walltime": 7.063952922821045 - }, - { - "config_ids": [ - 1, - 15, - 18 - ], - "costs": [ - [ - 0.00867577819307963, - 0.0027558076636298497 - ], - [ - 0.001044840657314805, - 0.006689670837079269 - ], - [ - 0.017072958297623897, - 1.0261883261615881e-05 - ] - ], - "trial": 18, - "walltime": 7.813990831375122 - } - ], - "state": { - "queue": [ - [ - 20, - 1 - ] - ] - } -} \ No newline at end of file diff --git a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/optimization.json b/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/optimization.json deleted file mode 100644 index 692247d3e32134b38b58da299ae33cbfdf4ad683..0000000000000000000000000000000000000000 --- a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/optimization.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "used_walltime": 8.121609926223755, - "used_target_function_walltime": 7.532191514968872, - "last_update": 1707410319.701335, - "finished": true -} \ No newline at end of file diff --git a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/runhistory.json b/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/runhistory.json deleted file mode 100644 index 7fbcfbd1d03e7f38bfd4763a84204abe6e27b040..0000000000000000000000000000000000000000 --- a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/runhistory.json +++ /dev/null @@ -1,594 +0,0 @@ -{ - "stats": { - "submitted": 20, - "finished": 20, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - 0.00867577819307963, - 0.0027558076636298497 - ], - 1.3106598854064941, - 1, - 1707410311.58006, - 1707410312.891378, - {} - ], - [ - 2, - null, - 209652396, - null, - [ - 0.0870293335964325, - 0.10459240813207453 - ], - 0.043802738189697266, - 1, - 1707410312.89313, - 1707410312.937582, - {} - ], - [ - 3, - null, - 209652396, - null, - [ - 0.040012477460420914, - 0.04847568534868508 - ], - 0.33039402961730957, - 1, - 1707410312.9391959, - 1707410313.270165, - {} - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410313.272167, - 1707410313.275018, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410313.277013, - 1707410313.277981, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 6, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410313.478412, - 1707410313.479525, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 7, - null, - 209652396, - null, - [ - 0.033999062871293395, - 0.06065631517637373 - ], - 0.35938191413879395, - 1, - 1707410313.481689, - 1707410313.8416362, - {} - ], - [ - 8, - null, - 209652396, - null, - [ - 0.09852683619378044, - 0.49954121873129165 - ], - 0.39683985710144043, - 1, - 1707410313.843765, - 1707410314.24118, - {} - ], - [ - 9, - null, - 209652396, - null, - [ - 0.22537849349428962, - 0.1110845324402908 - ], - 0.02721691131591797, - 1, - 1707410314.243447, - 1707410314.2712588, - {} - ], - [ - 10, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410314.2733371, - 1707410314.274355, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 11, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410314.276593, - 1707410314.2775638, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 12, - null, - 209652396, - null, - [ - 0.07750566951134852, - 0.12288699083254578 - ], - 0.1145319938659668, - 1, - 1707410314.2796621, - 1707410314.394741, - {} - ], - [ - 13, - null, - 209652396, - null, - [ - 0.0018672556795386042, - 0.008071380400834657 - ], - 1.0422191619873047, - 1, - 1707410314.397422, - 1707410315.440257, - {} - ], - [ - 14, - null, - 209652396, - null, - [ - 0.05197768126507163, - 0.001655997135938581 - ], - 2.357675075531006, - 1, - 1707410315.762815, - 1707410318.121088, - {} - ], - [ - 15, - null, - 209652396, - null, - [ - 0.001044840657314805, - 0.006689670837079269 - ], - 0.5169379711151123, - 1, - 1707410318.124809, - 1707410318.642358, - {} - ], - [ - 16, - null, - 209652396, - null, - [ - 0.012600338421428381, - 0.012826990609081249 - ], - 0.6455528736114502, - 1, - 1707410318.6463501, - 1707410319.292554, - {} - ], - [ - 17, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410319.296553, - 1707410319.297786, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 18, - null, - 209652396, - null, - [ - 0.017072958297623897, - 1.0261883261615881e-05 - ], - 0.09042215347290039, - 1, - 1707410319.3014882, - 1707410319.392482, - {} - ], - [ - 19, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410319.3967192, - 1707410319.3978062, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 20, - null, - 209652396, - null, - [ - 0.05002170667986583, - 0.008412895285895018 - ], - 0.2965569496154785, - 1, - 1707410319.401689, - 1707410319.698795, - {} - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "mode": 12, - "num_traces": 876, - "or": 0, - "parallel": 0.5005605065450072, - "sequence": 0.9603757594153285, - "silent": 0.9968127990048379 - }, - "2": { - "choice": 0.7756838992610574, - "duplicate": 0, - "loop": 0.04211317901499569, - "lt_dependency": 0.5104543915577233, - "mode": 28, - "num_traces": 324, - "or": 0, - "parallel": 0.5131619844958186, - "sequence": 0.2709401994291693, - "silent": 0.17004768340848386 - }, - "3": { - "choice": 0.6535194861143827, - "duplicate": 0, - "loop": 0.9576082275714726, - "lt_dependency": 0.32692241824232043, - "mode": 21, - "num_traces": 396, - "or": 0, - "parallel": 0.7672931762319058, - "sequence": 0.6588770150579513, - "silent": 0.4562873648200184 - }, - "4": { - "choice": 0.16388946956023576, - "duplicate": 0, - "loop": 0.39516660073772075, - "lt_dependency": 0.7955099861510098, - "mode": 36, - "num_traces": 745, - "or": 0, - "parallel": 0.25395125332288443, - "sequence": 0.07748097266070544, - "silent": 0.6486980180162937 - }, - "5": { - "choice": 0.04490061519667506, - "duplicate": 0, - "loop": 0.8006045478861779, - "lt_dependency": 0.6931793973967433, - "mode": 32, - "num_traces": 607, - "or": 0, - "parallel": 0.2829401990491897, - "sequence": 0.520932387933135, - "silent": 0.3123690354358405 - }, - "6": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "mode": 32, - "num_traces": 715, - "or": 0, - "parallel": 0.1376370346783048, - "sequence": 0.1696964227061463, - "silent": 0.14680112183512767 - }, - "7": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "mode": 28, - "num_traces": 612, - "or": 0, - "parallel": 0.442661634261348, - "sequence": 0.3700736632331964, - "silent": 0.2607586865143843 - }, - "8": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "mode": 19, - "num_traces": 656, - "or": 0, - "parallel": 0.6739314909219778, - "sequence": 0.11102436264054778, - "silent": 0.11927138975266208 - }, - "9": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "mode": 10, - "num_traces": 116, - "or": 0, - "parallel": 0.7006548839679922, - "sequence": 0.5744948027137008, - "silent": 0.47164766512774325 - }, - "10": { - "choice": 0.5533253688880515, - "duplicate": 0, - "loop": 0.964026132896019, - "lt_dependency": 0.03001621346592246, - "mode": 9, - "num_traces": 511, - "or": 0, - "parallel": 0.36591282156804816, - "sequence": 0.322274067414942, - "silent": 0.6565772422107444 - }, - "11": { - "choice": 0.5494343511669278, - "duplicate": 0, - "loop": 0.5336059705553754, - "lt_dependency": 0.8713120267643509, - "mode": 39, - "num_traces": 657, - "or": 0, - "parallel": 0.06962321691297713, - "sequence": 0.44421549832769713, - "silent": 0.2519813360815867 - }, - "12": { - "choice": 0.4432113391500656, - "duplicate": 0, - "loop": 0.08032569761590806, - "lt_dependency": 0.46686456863040254, - "mode": 14, - "num_traces": 951, - "or": 0, - "parallel": 0.2182787354631025, - "sequence": 0.21678798853388634, - "silent": 0.6597662935706207 - }, - "13": { - "choice": 0.42941825134551564, - "duplicate": 0, - "loop": 0.572364115482993, - "lt_dependency": 0.9788321588104364, - "mode": 23, - "num_traces": 652, - "or": 0, - "parallel": 0.670099048291211, - "sequence": 0.9884900996786339, - "silent": 0.16737988780906454 - }, - "14": { - "choice": 0.20461653806325297, - "duplicate": 0, - "loop": 0.9769934773084338, - "lt_dependency": 0.32480334760003626, - "mode": 25, - "num_traces": 629, - "or": 0, - "parallel": 0.25626561208475845, - "sequence": 0.7024844825643293, - "silent": 0.7280017370214441 - }, - "15": { - "choice": 0.10513742381502343, - "duplicate": 0, - "loop": 0.1289945956010372, - "lt_dependency": 0.272735596030051, - "mode": 30, - "num_traces": 343, - "or": 0, - "parallel": 0.9532215214018152, - "sequence": 0.5854601439095001, - "silent": 0.6103292819866452 - }, - "16": { - "choice": 0.8227832975494558, - "duplicate": 0, - "loop": 0.7418709436043187, - "lt_dependency": 0.07350602138529651, - "mode": 16, - "num_traces": 847, - "or": 0, - "parallel": 0.5961215119591207, - "sequence": 0.8156598415054525, - "silent": 0.9565227983759916 - }, - "17": { - "choice": 0.8395654584238159, - "duplicate": 0, - "loop": 0.2899788929506455, - "lt_dependency": 0.5709354396645094, - "mode": 9, - "num_traces": 711, - "or": 0, - "parallel": 0.23085081631421214, - "sequence": 0.8822921651400499, - "silent": 0.4296164980725979 - }, - "18": { - "choice": 0.10613026303513065, - "duplicate": 0, - "loop": 0.04879591433177747, - "lt_dependency": 0.6955473981763196, - "mode": 29, - "num_traces": 104, - "or": 0, - "parallel": 0.5765293867329646, - "sequence": 0.4025406834385148, - "silent": 0.647550297237341 - }, - "19": { - "choice": 0.37503791895435445, - "duplicate": 0, - "loop": 0.6087970645475955, - "lt_dependency": 0.4201203645695233, - "mode": 38, - "num_traces": 118, - "or": 0, - "parallel": 0.5803957610736585, - "sequence": 0.30446258134658233, - "silent": 0.5063111381074352 - }, - "20": { - "choice": 0.6635718021177582, - "duplicate": 0, - "loop": 0.29717683113833965, - "lt_dependency": 0.6218352747088531, - "mode": 20, - "num_traces": 222, - "or": 0, - "parallel": 0.3052995026964705, - "sequence": 0.5742652615942522, - "silent": 0.5949640336356915 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Initial Design: Sobol", - "3": "Initial Design: Sobol", - "4": "Initial Design: Sobol", - "5": "Initial Design: Sobol", - "6": "Acquisition Function Maximizer: Random Search (sorted)", - "7": "Acquisition Function Maximizer: Random Search (sorted)", - "8": "Acquisition Function Maximizer: Random Search (sorted)", - "9": "Acquisition Function Maximizer: Random Search (sorted)", - "10": "Acquisition Function Maximizer: Random Search (sorted)", - "11": "Acquisition Function Maximizer: Random Search (sorted)", - "12": "Acquisition Function Maximizer: Random Search (sorted)", - "13": "Acquisition Function Maximizer: Random Search (sorted)", - "14": "Acquisition Function Maximizer: Random Search (sorted)", - "15": "Acquisition Function Maximizer: Random Search (sorted)", - "16": "Acquisition Function Maximizer: Random Search (sorted)", - "17": "Acquisition Function Maximizer: Random Search (sorted)", - "18": "Acquisition Function Maximizer: Random Search (sorted)", - "19": "Acquisition Function Maximizer: Random Search (sorted)", - "20": "Random Search" - } -} \ No newline at end of file diff --git a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/scenario.json b/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/scenario.json deleted file mode 100644 index 782fa80bbf4352623c62aab414461f46071dd455..0000000000000000000000000000000000000000 --- a/smac3_output/08e3f3272b143b88c244c6f0ad626372/0/scenario.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "name": "08e3f3272b143b88c244c6f0ad626372", - "deterministic": true, - "objectives": [ - "epa_normalized_sequence_entropy", - "ratio_most_common_variant" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 20, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00d\\nd\\x0b\\x9c\\nd\\x0c\\x8d\\x01}\\x03t\\x01|\\x03d\\r|\\x01d\\r\\x19\\x00i\\x01d\\x0c\\x8d\\x02}\\x04|\\x00\\xa0\\x02|\\x04\\xa1\\x01S\\x00'" - }, - "model": { - "name": "RandomForest", - "types": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ], - "bounds": [ - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ] - ], - "pca_components": 7, - "n_trees": 10, - "n_points_per_tree": -1, - "ratio_features": 1.0, - "min_samples_split": 2, - "min_samples_leaf": 1, - "max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 5, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1, - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - }, - "version": "2.0.2" - }, - "output_directory": "smac3_output/08e3f3272b143b88c244c6f0ad626372/0" -} \ No newline at end of file diff --git a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/configspace.json b/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/configspace.json deleted file mode 100644 index 262e7029d5680bb92964d08ca5fb6acdf55ba84a..0000000000000000000000000000000000000000 --- a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 40, - "default": 22, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 1001, - "default": 550, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "silent", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - } - ], - "conditions": [], - "forbiddens": [], - "python_module_version": "0.6.1", - "json_format_version": 0.4 -} \ No newline at end of file diff --git a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/intensifier.json b/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/intensifier.json deleted file mode 100644 index a94b5e73dcbffefd263be34adf673dcb463822b5..0000000000000000000000000000000000000000 --- a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/intensifier.json +++ /dev/null @@ -1,160 +0,0 @@ -{ - "incumbent_ids": [ - 14, - 15, - 17 - ], - "rejected_config_ids": [ - 2, - 1, - 3, - 9 - ], - "incumbents_changed": 7, - "trajectory": [ - { - "config_ids": [ - 1 - ], - "costs": [ - [ - 0.05240269535475417, - 0.029908675799086425 - ] - ], - "trial": 1, - "walltime": 2.580815315246582 - }, - { - "config_ids": [ - 1, - 2 - ], - "costs": [ - [ - 0.05240269535475417, - 0.029908675799086425 - ], - [ - 0.14906570558837018, - 0.02716049382716016 - ] - ], - "trial": 2, - "walltime": 2.698866128921509 - }, - { - "config_ids": [ - 1, - 2, - 3 - ], - "costs": [ - [ - 0.05240269535475417, - 0.029908675799086425 - ], - [ - 0.14906570558837018, - 0.02716049382716016 - ], - [ - 0.08020797528576407, - 0.028282828282827948 - ] - ], - "trial": 3, - "walltime": 3.2037670612335205 - }, - { - "config_ids": [ - 1, - 3, - 9 - ], - "costs": [ - [ - 0.05240269535475417, - 0.029908675799086425 - ], - [ - 0.08020797528576407, - 0.028282828282827948 - ], - [ - 0.09285723839922033, - 0.024712643678160586 - ] - ], - "trial": 9, - "walltime": 4.4983811378479 - }, - { - "config_ids": [ - 9, - 14 - ], - "costs": [ - [ - 0.09285723839922033, - 0.024712643678160586 - ], - [ - 0.03636513076441328, - 0.026974032856385464 - ] - ], - "trial": 14, - "walltime": 7.818130016326904 - }, - { - "config_ids": [ - 14, - 15 - ], - "costs": [ - [ - 0.03636513076441328, - 0.026974032856385464 - ], - [ - 0.06290003076697792, - 0.0012633624878519503 - ] - ], - "trial": 15, - "walltime": 8.19489312171936 - }, - { - "config_ids": [ - 14, - 15, - 17 - ], - "costs": [ - [ - 0.03636513076441328, - 0.026974032856385464 - ], - [ - 0.06290003076697792, - 0.0012633624878519503 - ], - [ - 0.00848063801206611, - 0.4687763713080172 - ] - ], - "trial": 17, - "walltime": 8.87752914428711 - } - ], - "state": { - "queue": [ - [ - 20, - 1 - ] - ] - } -} \ No newline at end of file diff --git a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/optimization.json b/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/optimization.json deleted file mode 100644 index 45f0ffad02ac4200c47751b3623287108fb8857e..0000000000000000000000000000000000000000 --- a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/optimization.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "used_walltime": 9.041312217712402, - "used_target_function_walltime": 8.444822788238525, - "last_update": 1707410560.656917, - "finished": true -} \ No newline at end of file diff --git a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/runhistory.json b/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/runhistory.json deleted file mode 100644 index 7ca47c0737c4cfaef020ba0e8409ab7c658f231f..0000000000000000000000000000000000000000 --- a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/runhistory.json +++ /dev/null @@ -1,588 +0,0 @@ -{ - "stats": { - "submitted": 20, - "finished": 20, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - 0.05240269535475417, - 0.029908675799086425 - ], - 2.579211950302124, - 1, - 1707410551.615919, - 1707410554.19579, - {} - ], - [ - 2, - null, - 209652396, - null, - [ - 0.14906570558837018, - 0.02716049382716016 - ], - 0.11543416976928711, - 1, - 1707410554.1975482, - 1707410554.313608, - {} - ], - [ - 3, - null, - 209652396, - null, - [ - 0.08020797528576407, - 0.028282828282827948 - ], - 0.5019180774688721, - 1, - 1707410554.315789, - 1707410554.8183239, - {} - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410554.821074, - 1707410554.822645, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410554.825495, - 1707410554.826509, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 6, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410555.027819, - 1707410555.029034, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 7, - null, - 209652396, - null, - [ - 0.10431016038617424, - 0.2248366013071899 - ], - 0.12195301055908203, - 1, - 1707410555.032151, - 1707410555.154733, - {} - ], - [ - 8, - null, - 209652396, - null, - [ - 0.05328708875774535, - 0.04593495934959383 - ], - 0.8888459205627441, - 1, - 1707410555.157859, - 1707410556.047329, - {} - ], - [ - 9, - null, - 209652396, - null, - [ - 0.09285723839922033, - 0.024712643678160586 - ], - 0.061348676681518555, - 1, - 1707410556.0507038, - 1707410556.112681, - {} - ], - [ - 10, - null, - 209652396, - null, - [ - 0.05540184720778096, - 0.19954337899543412 - ], - 0.2737858295440674, - 1, - 1707410556.116391, - 1707410556.390811, - {} - ], - [ - 11, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410556.394277, - 1707410556.395373, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 12, - null, - 209652396, - null, - [ - 0.14262077123955674, - 0.03123028391167159 - ], - 0.6053051948547363, - 1, - 1707410556.398844, - 1707410557.0047228, - {} - ], - [ - 13, - null, - 209652396, - null, - [ - 0.1453066788980949, - 0.030265848670756313 - ], - 0.38332605361938477, - 1, - 1707410557.00847, - 1707410557.392481, - {} - ], - [ - 14, - null, - 209652396, - null, - [ - 0.03636513076441328, - 0.026974032856385464 - ], - 1.7188777923583984, - 1, - 1707410557.713017, - 1707410559.4325, - {} - ], - [ - 15, - null, - 209652396, - null, - [ - 0.06290003076697792, - 0.0012633624878519503 - ], - 0.37267303466796875, - 1, - 1707410559.4361558, - 1707410559.809459, - {} - ], - [ - 16, - null, - 209652396, - null, - [ - 0.09447142620105442, - 0.03514364423455366 - ], - 0.518280029296875, - 1, - 1707410559.8130949, - 1707410560.331964, - {} - ], - [ - 17, - null, - 209652396, - null, - [ - 0.00848063801206611, - 0.4687763713080172 - ], - 0.15590500831604004, - 1, - 1707410560.335646, - 1707410560.492148, - {} - ], - [ - 18, - null, - 209652396, - null, - [ - 0.08817860644373976, - 0.014102564102563768 - ], - 0.08901596069335938, - 1, - 1707410560.495954, - 1707410560.585552, - {} - ], - [ - 19, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410560.589809, - 1707410560.5909052, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 20, - null, - 209652396, - null, - [ - 0.0895082248087753, - 0.0018018018018014711 - ], - 0.05894207954406738, - 1, - 1707410560.595114, - 1707410560.6546419, - {} - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "mode": 12, - "num_traces": 876, - "or": 0, - "parallel": 0.5005605065450072, - "sequence": 0.9603757594153285, - "silent": 0.9968127990048379 - }, - "2": { - "choice": 0.7756838992610574, - "duplicate": 0, - "loop": 0.04211317901499569, - "lt_dependency": 0.5104543915577233, - "mode": 28, - "num_traces": 324, - "or": 0, - "parallel": 0.5131619844958186, - "sequence": 0.2709401994291693, - "silent": 0.17004768340848386 - }, - "3": { - "choice": 0.6535194861143827, - "duplicate": 0, - "loop": 0.9576082275714726, - "lt_dependency": 0.32692241824232043, - "mode": 21, - "num_traces": 396, - "or": 0, - "parallel": 0.7672931762319058, - "sequence": 0.6588770150579513, - "silent": 0.4562873648200184 - }, - "4": { - "choice": 0.16388946956023576, - "duplicate": 0, - "loop": 0.39516660073772075, - "lt_dependency": 0.7955099861510098, - "mode": 36, - "num_traces": 745, - "or": 0, - "parallel": 0.25395125332288443, - "sequence": 0.07748097266070544, - "silent": 0.6486980180162937 - }, - "5": { - "choice": 0.04490061519667506, - "duplicate": 0, - "loop": 0.8006045478861779, - "lt_dependency": 0.6931793973967433, - "mode": 32, - "num_traces": 607, - "or": 0, - "parallel": 0.2829401990491897, - "sequence": 0.520932387933135, - "silent": 0.3123690354358405 - }, - "6": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "mode": 32, - "num_traces": 715, - "or": 0, - "parallel": 0.1376370346783048, - "sequence": 0.1696964227061463, - "silent": 0.14680112183512767 - }, - "7": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "mode": 28, - "num_traces": 612, - "or": 0, - "parallel": 0.442661634261348, - "sequence": 0.3700736632331964, - "silent": 0.2607586865143843 - }, - "8": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "mode": 19, - "num_traces": 656, - "or": 0, - "parallel": 0.6739314909219778, - "sequence": 0.11102436264054778, - "silent": 0.11927138975266208 - }, - "9": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "mode": 10, - "num_traces": 116, - "or": 0, - "parallel": 0.7006548839679922, - "sequence": 0.5744948027137008, - "silent": 0.47164766512774325 - }, - "10": { - "choice": 0.5533253688880515, - "duplicate": 0, - "loop": 0.964026132896019, - "lt_dependency": 0.03001621346592246, - "mode": 9, - "num_traces": 511, - "or": 0, - "parallel": 0.36591282156804816, - "sequence": 0.322274067414942, - "silent": 0.6565772422107444 - }, - "11": { - "choice": 0.5494343511669278, - "duplicate": 0, - "loop": 0.5336059705553754, - "lt_dependency": 0.8713120267643509, - "mode": 39, - "num_traces": 657, - "or": 0, - "parallel": 0.06962321691297713, - "sequence": 0.44421549832769713, - "silent": 0.2519813360815867 - }, - "12": { - "choice": 0.4432113391500656, - "duplicate": 0, - "loop": 0.08032569761590806, - "lt_dependency": 0.46686456863040254, - "mode": 14, - "num_traces": 951, - "or": 0, - "parallel": 0.2182787354631025, - "sequence": 0.21678798853388634, - "silent": 0.6597662935706207 - }, - "13": { - "choice": 0.42941825134551564, - "duplicate": 0, - "loop": 0.572364115482993, - "lt_dependency": 0.9788321588104364, - "mode": 23, - "num_traces": 652, - "or": 0, - "parallel": 0.670099048291211, - "sequence": 0.9884900996786339, - "silent": 0.16737988780906454 - }, - "14": { - "choice": 0.20461653806325297, - "duplicate": 0, - "loop": 0.9769934773084338, - "lt_dependency": 0.32480334760003626, - "mode": 25, - "num_traces": 629, - "or": 0, - "parallel": 0.25626561208475845, - "sequence": 0.7024844825643293, - "silent": 0.7280017370214441 - }, - "15": { - "choice": 0.10513742381502343, - "duplicate": 0, - "loop": 0.1289945956010372, - "lt_dependency": 0.272735596030051, - "mode": 30, - "num_traces": 343, - "or": 0, - "parallel": 0.9532215214018152, - "sequence": 0.5854601439095001, - "silent": 0.6103292819866452 - }, - "16": { - "choice": 0.8227832975494558, - "duplicate": 0, - "loop": 0.7418709436043187, - "lt_dependency": 0.07350602138529651, - "mode": 16, - "num_traces": 847, - "or": 0, - "parallel": 0.5961215119591207, - "sequence": 0.8156598415054525, - "silent": 0.9565227983759916 - }, - "17": { - "choice": 0.8395654584238159, - "duplicate": 0, - "loop": 0.2899788929506455, - "lt_dependency": 0.5709354396645094, - "mode": 9, - "num_traces": 711, - "or": 0, - "parallel": 0.23085081631421214, - "sequence": 0.8822921651400499, - "silent": 0.4296164980725979 - }, - "18": { - "choice": 0.10613026303513065, - "duplicate": 0, - "loop": 0.04879591433177747, - "lt_dependency": 0.6955473981763196, - "mode": 29, - "num_traces": 104, - "or": 0, - "parallel": 0.5765293867329646, - "sequence": 0.4025406834385148, - "silent": 0.647550297237341 - }, - "19": { - "choice": 0.37503791895435445, - "duplicate": 0, - "loop": 0.6087970645475955, - "lt_dependency": 0.4201203645695233, - "mode": 38, - "num_traces": 118, - "or": 0, - "parallel": 0.5803957610736585, - "sequence": 0.30446258134658233, - "silent": 0.5063111381074352 - }, - "20": { - "choice": 0.6635718021177582, - "duplicate": 0, - "loop": 0.29717683113833965, - "lt_dependency": 0.6218352747088531, - "mode": 20, - "num_traces": 222, - "or": 0, - "parallel": 0.3052995026964705, - "sequence": 0.5742652615942522, - "silent": 0.5949640336356915 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Initial Design: Sobol", - "3": "Initial Design: Sobol", - "4": "Initial Design: Sobol", - "5": "Initial Design: Sobol", - "6": "Acquisition Function Maximizer: Random Search (sorted)", - "7": "Acquisition Function Maximizer: Random Search (sorted)", - "8": "Acquisition Function Maximizer: Random Search (sorted)", - "9": "Acquisition Function Maximizer: Random Search (sorted)", - "10": "Acquisition Function Maximizer: Random Search (sorted)", - "11": "Acquisition Function Maximizer: Random Search (sorted)", - "12": "Acquisition Function Maximizer: Random Search (sorted)", - "13": "Acquisition Function Maximizer: Random Search (sorted)", - "14": "Acquisition Function Maximizer: Random Search (sorted)", - "15": "Acquisition Function Maximizer: Random Search (sorted)", - "16": "Acquisition Function Maximizer: Random Search (sorted)", - "17": "Acquisition Function Maximizer: Random Search (sorted)", - "18": "Acquisition Function Maximizer: Random Search (sorted)", - "19": "Acquisition Function Maximizer: Random Search (sorted)", - "20": "Random Search" - } -} \ No newline at end of file diff --git a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/scenario.json b/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/scenario.json deleted file mode 100644 index f654a5bc22cfaf79c552d4f1e6ac0d70bdffd2bf..0000000000000000000000000000000000000000 --- a/smac3_output/0a6c8f981b830a38c5372b799c1e0ecf/0/scenario.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "name": "0a6c8f981b830a38c5372b799c1e0ecf", - "deterministic": true, - "objectives": [ - "epa_normalized_sequence_entropy", - "ratio_most_common_variant" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 20, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00d\\nd\\x0b\\x9c\\x0bd\\x0c\\x8d\\x01}\\x03t\\x01|\\x03d\\r|\\x01d\\r\\x19\\x00i\\x01d\\x0c\\x8d\\x02}\\x04|\\x00\\xa0\\x02|\\x04\\xa1\\x01S\\x00'" - 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"max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 1, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1, - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - }, - "version": "2.0.2" - }, - "output_directory": "smac3_output/134c2ac33e87d5808237a0034e98f721/0" -} \ No newline at end of file diff --git a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/configspace.json b/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/configspace.json deleted file mode 100644 index a23c1c21ff12d0530f1260012e90027afaad62df..0000000000000000000000000000000000000000 --- a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 20, - "default": 12, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 101, - "default": 100, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "silent", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - } - ], - "conditions": [], - "forbiddens": [], - "python_module_version": "0.6.1", - "json_format_version": 0.4 -} \ No newline at end of file diff --git a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/intensifier.json b/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/intensifier.json deleted file mode 100644 index 54df811601225497943ab8575b9bd292c9f33be5..0000000000000000000000000000000000000000 --- a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/intensifier.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "incumbent_ids": [ - 1 - ], - "rejected_config_ids": [], - "incumbents_changed": 1, - "trajectory": [ - { - "config_ids": [ - 1 - ], - "costs": [ - [ - Infinity, - Infinity - ] - ], - "trial": 1, - "walltime": 0.015279769897460938 - } - ], - "state": { - "queue": [ - [ - 50, - 1 - ] - ] - } -} \ No newline at end of file diff --git a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/optimization.json b/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/optimization.json deleted file mode 100644 index 7531cea10bfaca3ec88f99ab53c89d799aaf2260..0000000000000000000000000000000000000000 --- a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/optimization.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "used_walltime": 4.531804800033569, - "used_target_function_walltime": 0.0, - "last_update": 1699975849.663967, - "finished": true -} \ No newline at end of file diff --git a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/runhistory.json b/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/runhistory.json deleted file mode 100644 index caf65d71273a1359dae8872de3490cdea31d7f8d..0000000000000000000000000000000000000000 --- a/smac3_output/17468db9c8817fb41ada4ecba96b6a90/0/runhistory.json +++ /dev/null @@ -1,1563 +0,0 @@ -{ - "stats": { - "submitted": 50, - "finished": 50, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.132818, - 1699975845.146286, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 2, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.149363, - 1699975845.157381, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 3, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.160852, - 1699975845.1705081, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.173873, - 1699975845.2030451, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.206718, - 1699975845.3073359, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 6, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.311868, - 1699975845.3208919, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 7, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.3256, - 1699975845.334378, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 8, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.338975, - 1699975845.342554, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 9, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.346677, - 1699975845.3521369, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 10, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.356184, - 1699975845.361844, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 11, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.36592, - 1699975845.3694358, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 12, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.373298, - 1699975845.382098, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 13, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.840866, - 1699975845.844257, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 14, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.847955, - 1699975845.852612, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 15, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.856404, - 1699975845.859553, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 16, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.863488, - 1699975845.866293, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 17, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.8705359, - 1699975845.875135, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 18, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.8790789, - 1699975845.894725, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 19, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.8997278, - 1699975845.902925, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 20, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975845.907605, - 1699975845.914455, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 21, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.4953759, - 1699975846.5119581, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 22, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.516592, - 1699975846.525342, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 23, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.529753, - 1699975846.5386062, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 24, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.542767, - 1699975846.546096, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 25, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.550364, - 1699975846.559971, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 26, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.566123, - 1699975846.654495, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 27, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.662559, - 1699975846.673305, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 28, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.679984, - 1699975846.693612, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 29, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975846.7084758, - 1699975846.716303, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 30, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.41013, - 1699975847.4149911, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 31, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.4205031, - 1699975847.424635, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 32, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.4303591, - 1699975847.4403992, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 33, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.446698, - 1699975847.451036, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 34, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.456149, - 1699975847.4629781, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 35, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.4682, - 1699975847.516963, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 36, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.5223901, - 1699975847.526028, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 37, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975847.538579, - 1699975847.555882, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 38, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.3965042, - 1699975848.404706, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 39, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.4114392, - 1699975848.418166, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 40, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.4239, - 1699975848.4286962, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 41, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.4348521, - 1699975848.443533, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 42, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.449346, - 1699975848.4541829, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 43, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.4612548, - 1699975848.466733, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 44, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975848.474602, - 1699975848.569506, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 45, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.5868611, - 1699975849.594778, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 46, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.60121, - 1699975849.612036, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 47, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.6182458, - 1699975849.6239989, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 48, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.63111, - 1699975849.634251, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 49, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.642393, - 1699975849.6478, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ], - [ - 50, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1699975849.6552901, - 1699975849.6587431, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 99, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 125, in eval_log\n mfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 114, in compute_metafeatures\n log = generate_log(log)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/complexity.py\", line 241, in generate_log\n trace.attributes[\"concept:name\"],\nKeyError: 'concept:name'\n", - "error": "KeyError('concept:name')" - } - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "mode": 8, - "num_traces": 101, - "or": 0, - "parallel": 0.5005605065450072, - "sequence": 0.9603757594153285, - "silent": 0.9968127990048379 - }, - "2": { - "choice": 0.7756838992610574, - "duplicate": 0, - "loop": 0.04211317901499569, - "lt_dependency": 0.5104543915577233, - "mode": 15, - "num_traces": 100, - "or": 0, - "parallel": 0.5131619844958186, - "sequence": 0.2709401994291693, - "silent": 0.17004768340848386 - }, - "3": { - "choice": 0.6535194861143827, - "duplicate": 0, - "loop": 0.9576082275714726, - "lt_dependency": 0.32692241824232043, - "mode": 12, - "num_traces": 100, - "or": 0, - "parallel": 0.7672931762319058, - "sequence": 0.6588770150579513, - "silent": 0.4562873648200184 - }, - "4": { - "choice": 0.16388946956023576, - "duplicate": 0, - "loop": 0.39516660073772075, - "lt_dependency": 0.7955099861510098, - "mode": 19, - "num_traces": 101, - "or": 0, - "parallel": 0.25395125332288443, - "sequence": 0.07748097266070544, - "silent": 0.6486980180162937 - }, - "5": { - "choice": 0.04490061519667506, - "duplicate": 0, - "loop": 0.8006045478861779, - "lt_dependency": 0.6931793973967433, - "mode": 17, - "num_traces": 101, - "or": 0, - "parallel": 0.2829401990491897, - "sequence": 0.520932387933135, - "silent": 0.3123690354358405 - }, - "6": { - "choice": 0.5385171788930893, - "duplicate": 0, - "loop": 0.36144462881609796, - "lt_dependency": 0.1734743366856128, - "mode": 10, - "num_traces": 100, - "or": 0, - "parallel": 0.7305396689195186, - "sequence": 0.20589647826738655, - "silent": 0.5997450878378003 - }, - "7": { - "choice": 0.919571726731956, - "duplicate": 0, - "loop": 0.6583127988129854, - "lt_dependency": 0.9801677891239524, - "mode": 13, - "num_traces": 100, - "or": 0, - "parallel": 0.9830402742139995, - "sequence": 0.8378819768689573, - "silent": 0.7620835744682699 - }, - "8": { - "choice": 0.4223286716081202, - "duplicate": 0, - "loop": 0.20028522157110273, - "lt_dependency": 0.38202932563610376, - "mode": 6, - "num_traces": 101, - "or": 0, - "parallel": 0.03844681529328227, - "sequence": 0.38386898322962226, - "silent": 0.0881556557584554 - }, - "9": { - "choice": 0.4799013703782111, - "duplicate": 0, - "loop": 0.921196125568822, - "lt_dependency": 0.8882537033315748, - "mode": 9, - "num_traces": 100, - "or": 0, - "parallel": 0.19422063131816686, - "sequence": 0.6188640497997403, - "silent": 0.34122733243741094 - }, - "10": { - "choice": 0.9697589093353599, - "duplicate": 0, - "loop": 0.49363775055855513, - "lt_dependency": 0.48164851816371085, - "mode": 18, - "num_traces": 101, - "or": 0, - "parallel": 0.8275076798070222, - "sequence": 0.17932279319502414, - "silent": 0.5201252231467516 - }, - "11": { - "choice": 0.6121796341519803, - "duplicate": 0, - "loop": 0.5061445510573684, - "lt_dependency": 0.6651958171185106, - "mode": 5, - "num_traces": 101, - "or": 0, - "parallel": 0.5771822992525995, - "sequence": 0.8123695098049939, - "silent": 0.8527563987206668 - }, - "12": { - "choice": 0.11096323505975306, - "duplicate": 0, - "loop": 0.09839042237959801, - "lt_dependency": 0.2091611354239285, - "mode": 14, - "num_traces": 100, - "or": 0, - "parallel": 0.4370221703313291, - "sequence": 0.48086782979778947, - "silent": 0.07047128594480455 - }, - "13": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "mode": 17, - "num_traces": 101, - "or": 0, - "parallel": 0.1376370346783048, - "sequence": 0.1696964227061463, - "silent": 0.14680112183512767 - }, - "14": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "mode": 15, - "num_traces": 101, - "or": 0, - "parallel": 0.442661634261348, - "sequence": 0.3700736632331964, - "silent": 0.2607586865143843 - }, - "15": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "mode": 11, - "num_traces": 101, - "or": 0, - "parallel": 0.6739314909219778, - "sequence": 0.11102436264054778, - "silent": 0.11927138975266208 - }, - "16": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "mode": 7, - "num_traces": 100, - "or": 0, - "parallel": 0.7006548839679922, - "sequence": 0.5744948027137008, - "silent": 0.47164766512774325 - }, - "17": { - "choice": 0.5533253688880515, - "duplicate": 0, - "loop": 0.964026132896019, - "lt_dependency": 0.03001621346592246, - "mode": 6, - "num_traces": 100, - "or": 0, - "parallel": 0.36591282156804816, - "sequence": 0.322274067414942, - "silent": 0.6565772422107444 - }, - "18": { - "choice": 0.5494343511669278, - "duplicate": 0, - "loop": 0.5336059705553754, - "lt_dependency": 0.8713120267643509, - "mode": 20, - "num_traces": 101, - "or": 0, - "parallel": 0.06962321691297713, - "sequence": 0.44421549832769713, - "silent": 0.2519813360815867 - 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"hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 40, - "default": 22, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 1001, - "default": 550, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "silent", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - } - ], - "conditions": [], - "forbiddens": [], - "python_module_version": "0.6.1", - "json_format_version": 0.4 -} \ No newline at end of file diff --git a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/intensifier.json b/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/intensifier.json deleted file mode 100644 index 565edee28e8ab3d54292a83fbadce22f5df299aa..0000000000000000000000000000000000000000 --- a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/intensifier.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "incumbent_ids": [ - 1 - ], - "rejected_config_ids": [], - "incumbents_changed": 1, - "trajectory": [ - { - "config_ids": [ - 1 - ], - "costs": [ - [ - Infinity, - Infinity, - Infinity - ] - ], - "trial": 1, - "walltime": 0.5390441417694092 - } - ], - "state": { - "queue": [ - [ - 5, - 1 - ] - ] - } -} \ No newline at end of file diff --git a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/optimization.json b/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/optimization.json deleted file mode 100644 index adc984b98bd1601adccfcc0934f1d74379761200..0000000000000000000000000000000000000000 --- a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/optimization.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "used_walltime": 1.7973339557647705, - "used_target_function_walltime": 0.0, - "last_update": 1706651001.560798, - "finished": true -} \ No newline at end of file diff --git a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/runhistory.json b/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/runhistory.json deleted file mode 100644 index 40cf7c59d4718a513a109795880cdf96e5b8a323..0000000000000000000000000000000000000000 --- a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/runhistory.json +++ /dev/null @@ -1,173 +0,0 @@ -{ - "stats": { - "submitted": 5, - "finished": 5, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - Infinity, - Infinity, - Infinity - ], - 0.0, - 2, - 1706650999.764338, - 1706651000.30145, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 145, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 186, in eval_log\n mtfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 181, in compute_metafeatures\n ft_type = feature_type(ft_name)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/feature_extractor.py\", line 36, in feature_type\n raise ValueError(f\"ERROR: Invalid value for feature_key argument: {feature_name}. See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\")" - } - ], - [ - 2, - null, - 209652396, - null, - [ - Infinity, - Infinity, - Infinity - ], - 0.0, - 2, - 1706651000.430203, - 1706651000.660245, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 145, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 186, in eval_log\n mtfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 181, in compute_metafeatures\n ft_type = feature_type(ft_name)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/feature_extractor.py\", line 36, in feature_type\n raise ValueError(f\"ERROR: Invalid value for feature_key argument: {feature_name}. See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\")" - } - ], - [ - 3, - null, - 209652396, - null, - [ - Infinity, - Infinity, - Infinity - ], - 0.0, - 2, - 1706651000.662899, - 1706651000.992873, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 145, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 186, in eval_log\n mtfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 181, in compute_metafeatures\n ft_type = feature_type(ft_name)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/feature_extractor.py\", line 36, in feature_type\n raise ValueError(f\"ERROR: Invalid value for feature_key argument: {feature_name}. See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\")" - } - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity, - Infinity - ], - 0.0, - 2, - 1706651000.995462, - 1706651001.331268, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 145, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 186, in eval_log\n mtfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 181, in compute_metafeatures\n ft_type = feature_type(ft_name)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/feature_extractor.py\", line 36, in feature_type\n raise ValueError(f\"ERROR: Invalid value for feature_key argument: {feature_name}. See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\")" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity, - Infinity - ], - 0.0, - 2, - 1706651001.334045, - 1706651001.558181, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 145, in gen_log\n return self.eval_log(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 186, in eval_log\n mtfs = self.compute_metafeatures(log)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 181, in compute_metafeatures\n ft_type = feature_type(ft_name)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/feeed/feature_extractor.py\", line 36, in feature_type\n raise ValueError(f\"ERROR: Invalid value for feature_key argument: {feature_name}. See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: normalized_sequence_entropy_exponentg. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'entropies', 'complexity', 'time_based'] or None\")" - } - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "mode": 12, - "num_traces": 876, - "or": 0, - "parallel": 0.5005605065450072, - "sequence": 0.9603757594153285, - "silent": 0.9968127990048379 - }, - "2": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "mode": 32, - "num_traces": 715, - "or": 0, - "parallel": 0.1376370346783048, - "sequence": 0.1696964227061463, - "silent": 0.14680112183512767 - }, - "3": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "mode": 28, - "num_traces": 612, - "or": 0, - "parallel": 0.442661634261348, - "sequence": 0.3700736632331964, - "silent": 0.2607586865143843 - }, - "4": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "mode": 19, - "num_traces": 656, - "or": 0, - "parallel": 0.6739314909219778, - "sequence": 0.11102436264054778, - "silent": 0.11927138975266208 - }, - "5": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "mode": 10, - "num_traces": 116, - "or": 0, - "parallel": 0.7006548839679922, - "sequence": 0.5744948027137008, - "silent": 0.47164766512774325 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Acquisition Function Maximizer: Random Search (sorted)", - "3": "Acquisition Function Maximizer: Random Search (sorted)", - "4": "Acquisition Function Maximizer: Random Search (sorted)", - "5": "Acquisition Function Maximizer: Random Search (sorted)" - } -} \ No newline at end of file diff --git a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/scenario.json b/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/scenario.json deleted file mode 100644 index 964c46128205c6f86edeee0361eab581ad8f6fc2..0000000000000000000000000000000000000000 --- a/smac3_output/390e8c90f7ece058c559f153a7ac92a6/0/scenario.json +++ /dev/null @@ -1,182 +0,0 @@ -{ - "name": "390e8c90f7ece058c559f153a7ac92a6", - "deterministic": true, - "objectives": [ - "entropy_prefix", - "normalized_sequence_entropy_exponentg", - "normalized_sequence_entropy_linear_forgetting" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 5, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00d\\nd\\x0b\\x9c\\x0cd\\x0c\\x8d\\x01}\\x03t\\x01|\\x03d\\r|\\x01d\\r\\x19\\x00i\\x01d\\x0c\\x8d\\x02}\\x04|\\x00\\xa0\\x02|\\x04\\xa1\\x01S\\x00'" - }, - "model": { - "name": "RandomForest", - "types": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ], - "bounds": [ - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ] - ], - "pca_components": 7, - "n_trees": 10, - "n_points_per_tree": -1, - "ratio_features": 1.0, - "min_samples_split": 2, - "min_samples_leaf": 1, - "max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 1, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1, - 1, - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - 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See README.md for \" +\nValueError: ERROR: Invalid value for feature_key argument: log. See README.md for supported feature_names or use a sublist of the following: ['simple_stats', 'trace_length', 'trace_variant', 'activities', 'start_activities', 'end_activities', 'eventropies', 'complexity', 'time_based'] or None\n", - "error": "ValueError(\"ERROR: Invalid value for feature_key argument: log. 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}, - "version": "2.0.2" - }, - "output_directory": "smac3_output/65c1ad1f54fd4b0356111bb9eb146fcd/0" -} \ No newline at end of file diff --git a/smac3_output/676f3cd7917df631ec340471a9208393/0/configspace.json b/smac3_output/676f3cd7917df631ec340471a9208393/0/configspace.json deleted file mode 100644 index b0ca5743afb069c91aef28882553d44df429ea7f..0000000000000000000000000000000000000000 --- a/smac3_output/676f3cd7917df631ec340471a9208393/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - 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}, - "version": "2.0.2" - }, - "output_directory": "smac3_output/9a33c121cd25178077554d16f8591ac6/0" -} \ No newline at end of file diff --git a/smac3_output/9cb98d57602639bf6f9f278f1af7794e/0/configspace.json b/smac3_output/9cb98d57602639bf6f9f278f1af7794e/0/configspace.json deleted file mode 100644 index 9572f5773a888afd6403445e760dd4994d8bcab7..0000000000000000000000000000000000000000 --- a/smac3_output/9cb98d57602639bf6f9f278f1af7794e/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - 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"stats": { - "submitted": 20, - "finished": 20, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - 0.011709546236355006, - 0.006180465197876425 - ], - 1.8946030139923096, - 1, - 1707410723.8614569, - 1707410725.756709, - {} - ], - [ - 2, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410725.7586188, - 1707410725.761635, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 3, - null, - 209652396, - null, - [ - 0.06850390869023859, - 0.007079870206870474 - ], - 1.5154807567596436, - 1, - 1707410725.763343, - 1707410727.279398, - {} - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410727.281443, - 1707410727.282572, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410727.284427, - 1707410727.285355, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 6, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410727.485078, - 1707410727.486141, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 7, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410727.488202, - 1707410727.4891021, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 8, - null, - 209652396, - null, - [ - 0.11276905814557803, - 0.2510656089751941 - ], - 1.4837849140167236, - 1, - 1707410727.49117, - 1707410728.975488, - {} - ], - [ - 9, - null, - 209652396, - null, - [ - 0.10948736503181977, - 0.12832591175063562 - ], - 0.018411874771118164, - 1, - 1707410728.977809, - 1707410728.996822, - {} - ], - [ - 10, - null, - 209652396, - null, - [ - 0.0023168737880427948, - 0.033447714841262514 - ], - 0.2510111331939697, - 1, - 1707410728.998794, - 1707410729.250391, - {} - ], - [ - 11, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410729.253199, - 1707410729.254323, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 12, - null, - 209652396, - null, - [ - 0.07679148074420483, - 0.07346532942350266 - ], - 0.11261701583862305, - 1, - 1707410729.2571251, - 1707410729.370267, - {} - ], - [ - 13, - null, - 209652396, - null, - [ - 0.03881535428530747, - 0.008071380400834657 - ], - 0.6915278434753418, - 1, - 1707410729.3732102, - 1707410730.065353, - {} - ], - [ - 14, - null, - 209652396, - null, - [ - 0.11612068934671277, - 0.5213964670929963 - ], - 2.131845712661743, - 1, - 1707410730.387688, - 1707410732.520146, - {} - ], - [ - 15, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410732.5230982, - 1707410732.524151, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 16, - null, - 209652396, - null, - [ - 0.027697888125734038, - 0.02699464114036814 - ], - 1.2930617332458496, - 1, - 1707410732.5271838, - 1707410733.8208032, - {} - ], - [ - 17, - null, - 209652396, - null, - [ - 0.15660700112198178, - 0.46859459597392483 - ], - 0.1401538848876953, - 1, - 1707410733.823951, - 1707410733.9646962, - {} - ], - [ - 18, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410733.9676359, - 1707410733.968648, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 19, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707410733.971756, - 1707410733.972685, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 161, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 20, - null, - 209652396, - null, - [ - 0.06505174476978992, - 0.13453902141202115 - ], - 0.13518619537353516, - 1, - 1707410733.975761, - 1707410734.11147, - {} - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "mode": 13, - "num_traces": 876, - "or": 0, - "parallel": 0.5005605065450072, - "sequence": 0.9603757594153285, - "silent": 0.9968127990048379 - }, - "2": { - "choice": 0.7756838992610574, - "duplicate": 0, - "loop": 0.04211317901499569, - "lt_dependency": 0.5104543915577233, - "mode": 34, - "num_traces": 324, - "or": 0, - "parallel": 0.5131619844958186, - "sequence": 0.2709401994291693, - "silent": 0.17004768340848386 - }, - "3": { - "choice": 0.6535194861143827, - "duplicate": 0, - "loop": 0.9576082275714726, - "lt_dependency": 0.32692241824232043, - "mode": 24, - "num_traces": 396, - "or": 0, - "parallel": 0.7672931762319058, - "sequence": 0.6588770150579513, - "silent": 0.4562873648200184 - }, - "4": { - "choice": 0.16388946956023576, - "duplicate": 0, - "loop": 0.39516660073772075, - "lt_dependency": 0.7955099861510098, - "mode": 45, - "num_traces": 745, - "or": 0, - "parallel": 0.25395125332288443, - "sequence": 0.07748097266070544, - "silent": 0.6486980180162937 - }, - "5": { - "choice": 0.04490061519667506, - "duplicate": 0, - "loop": 0.8006045478861779, - "lt_dependency": 0.6931793973967433, - "mode": 39, - "num_traces": 607, - "or": 0, - "parallel": 0.2829401990491897, - "sequence": 0.520932387933135, - "silent": 0.3123690354358405 - }, - "6": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "mode": 40, - "num_traces": 715, - "or": 0, - "parallel": 0.1376370346783048, - "sequence": 0.1696964227061463, - "silent": 0.14680112183512767 - }, - "7": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "mode": 33, - "num_traces": 612, - "or": 0, - "parallel": 0.442661634261348, - "sequence": 0.3700736632331964, - "silent": 0.2607586865143843 - }, - "8": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "mode": 22, - "num_traces": 656, - "or": 0, - "parallel": 0.6739314909219778, - "sequence": 0.11102436264054778, - "silent": 0.11927138975266208 - }, - "9": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "mode": 9, - "num_traces": 116, - "or": 0, - "parallel": 0.7006548839679922, - "sequence": 0.5744948027137008, - "silent": 0.47164766512774325 - }, - "10": { - "choice": 0.5533253688880515, - "duplicate": 0, - "loop": 0.964026132896019, - "lt_dependency": 0.03001621346592246, - "mode": 8, - "num_traces": 511, - "or": 0, - "parallel": 0.36591282156804816, - "sequence": 0.322274067414942, - "silent": 0.6565772422107444 - }, - "11": { - "choice": 0.5494343511669278, - "duplicate": 0, - "loop": 0.5336059705553754, - "lt_dependency": 0.8713120267643509, - "mode": 48, - "num_traces": 657, - "or": 0, - "parallel": 0.06962321691297713, - "sequence": 0.44421549832769713, - "silent": 0.2519813360815867 - }, - "12": { - "choice": 0.4432113391500656, - "duplicate": 0, - "loop": 0.08032569761590806, - "lt_dependency": 0.46686456863040254, - "mode": 15, - "num_traces": 951, - "or": 0, - "parallel": 0.2182787354631025, - "sequence": 0.21678798853388634, - "silent": 0.6597662935706207 - }, - "13": { - "choice": 0.42941825134551564, - "duplicate": 0, - "loop": 0.572364115482993, - "lt_dependency": 0.9788321588104364, - "mode": 28, - "num_traces": 652, - "or": 0, - "parallel": 0.670099048291211, - "sequence": 0.9884900996786339, - "silent": 0.16737988780906454 - }, - "14": { - "choice": 0.20461653806325297, - "duplicate": 0, - "loop": 0.9769934773084338, - "lt_dependency": 0.32480334760003626, - "mode": 30, - "num_traces": 629, - "or": 0, - "parallel": 0.25626561208475845, - "sequence": 0.7024844825643293, - "silent": 0.7280017370214441 - }, - "15": { - "choice": 0.10513742381502343, - "duplicate": 0, - "loop": 0.1289945956010372, - "lt_dependency": 0.272735596030051, - "mode": 37, - "num_traces": 343, - "or": 0, - "parallel": 0.9532215214018152, - "sequence": 0.5854601439095001, - "silent": 0.6103292819866452 - }, - "16": { - "choice": 0.8227832975494558, - "duplicate": 0, - "loop": 0.7418709436043187, - "lt_dependency": 0.07350602138529651, - "mode": 18, - "num_traces": 847, - "or": 0, - "parallel": 0.5961215119591207, - "sequence": 0.8156598415054525, - "silent": 0.9565227983759916 - }, - "17": { - "choice": 0.8395654584238159, - "duplicate": 0, - "loop": 0.2899788929506455, - "lt_dependency": 0.5709354396645094, - "mode": 9, - "num_traces": 711, - "or": 0, - "parallel": 0.23085081631421214, - "sequence": 0.8822921651400499, - "silent": 0.4296164980725979 - }, - "18": { - "choice": 0.10613026303513065, - "duplicate": 0, - "loop": 0.04879591433177747, - "lt_dependency": 0.6955473981763196, - "mode": 35, - "num_traces": 104, - "or": 0, - "parallel": 0.5765293867329646, - "sequence": 0.4025406834385148, - "silent": 0.647550297237341 - }, - "19": { - "choice": 0.37503791895435445, - "duplicate": 0, - "loop": 0.6087970645475955, - "lt_dependency": 0.4201203645695233, - "mode": 47, - "num_traces": 118, - "or": 0, - "parallel": 0.5803957610736585, - "sequence": 0.30446258134658233, - "silent": 0.5063111381074352 - }, - "20": { - "choice": 0.6635718021177582, - "duplicate": 0, - "loop": 0.29717683113833965, - "lt_dependency": 0.6218352747088531, - "mode": 23, - "num_traces": 222, - "or": 0, - "parallel": 0.3052995026964705, - "sequence": 0.5742652615942522, - "silent": 0.5949640336356915 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Initial Design: Sobol", - "3": "Initial Design: Sobol", - "4": "Initial Design: Sobol", - "5": "Initial Design: Sobol", - "6": "Acquisition Function Maximizer: Random Search (sorted)", - "7": "Acquisition Function Maximizer: Random Search (sorted)", - "8": "Acquisition Function Maximizer: Random Search (sorted)", - "9": "Acquisition Function Maximizer: Random Search (sorted)", - "10": "Acquisition Function Maximizer: Random Search (sorted)", - "11": "Acquisition Function Maximizer: Random Search (sorted)", - "12": "Acquisition Function Maximizer: Random Search (sorted)", - "13": "Acquisition Function Maximizer: Random Search (sorted)", - "14": "Acquisition Function Maximizer: Random Search (sorted)", - "15": "Acquisition Function Maximizer: Random Search (sorted)", - "16": "Acquisition Function Maximizer: Random Search (sorted)", - "17": "Acquisition Function Maximizer: Random Search (sorted)", - "18": "Acquisition Function Maximizer: Random Search (sorted)", - "19": "Acquisition Function Maximizer: Random Search (sorted)", - "20": "Random Search" - } -} \ No newline at end of file diff --git a/smac3_output/9efe620f0b922587fa28400d2519a962/0/scenario.json b/smac3_output/9efe620f0b922587fa28400d2519a962/0/scenario.json deleted file mode 100644 index f9c5e4ad0bf9e5ae57daf96651825e8dacc6ad74..0000000000000000000000000000000000000000 --- a/smac3_output/9efe620f0b922587fa28400d2519a962/0/scenario.json +++ /dev/null @@ -1,180 +0,0 @@ -{ - "name": "9efe620f0b922587fa28400d2519a962", - "deterministic": true, - "objectives": [ - "epa_normalized_sequence_entropy", - "ratio_most_common_variant" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 20, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00d\\nd\\x0b\\x9c\\x0bd\\x0c\\x8d\\x01}\\x03t\\x01|\\x03d\\r|\\x01d\\r\\x19\\x00i\\x01d\\x0c\\x8d\\x02}\\x04|\\x00\\xa0\\x02|\\x04\\xa1\\x01S\\x00'" - }, - "model": { - "name": "RandomForest", - "types": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ], - "bounds": [ - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ] - ], - "pca_components": 7, - "n_trees": 10, - "n_points_per_tree": -1, - "ratio_features": 1.0, - "min_samples_split": 2, - "min_samples_leaf": 1, - "max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 5, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1, - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - }, - "version": "2.0.2" - }, - "output_directory": "smac3_output/9efe620f0b922587fa28400d2519a962/0" -} \ No newline at end of file diff --git a/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/configspace.json b/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/configspace.json deleted file mode 100644 index 262e7029d5680bb92964d08ca5fb6acdf55ba84a..0000000000000000000000000000000000000000 --- a/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 40, - "default": 22, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 1001, - "default": 550, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "silent", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - } - ], - "conditions": [], - "forbiddens": [], - "python_module_version": "0.6.1", - "json_format_version": 0.4 -} \ No newline at end of file diff --git a/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/intensifier.json b/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/intensifier.json deleted file mode 100644 index 14e8a310cf18ad3bf0acb8c21f81927a0aa52530..0000000000000000000000000000000000000000 --- a/smac3_output/9f3ea91c856e1f698b99e6a26e5a5b18/0/intensifier.json +++ /dev/null @@ -1,49 +0,0 @@ -{ - 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15 - ], - "rejected_config_ids": [ - 1, - 2 - ], - "incumbents_changed": 3, - "trajectory": [ - { - "config_ids": [ - 1 - ], - "costs": [ - [ - Infinity, - Infinity - ] - ], - "trial": 1, - "walltime": 0.003468036651611328 - }, - { - "config_ids": [ - 2 - ], - "costs": [ - [ - 0.0942237913295394, - 0.2272369825310349 - ] - ], - "trial": 2, - "walltime": 0.15606307983398438 - }, - { - "config_ids": [ - 15 - ], - "costs": [ - [ - 0.06037654948186555, - 0.017495148270587027 - ] - ], - "trial": 15, - "walltime": 1.5829651355743408 - } - ], - "state": { - "queue": [ - [ - 20, - 1 - ] - ] - } -} \ No newline at end of file diff --git a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/optimization.json b/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/optimization.json deleted file mode 100644 index 87e2520b2641a76cdbf792c7a8ac4a2aaec61fa6..0000000000000000000000000000000000000000 --- a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/optimization.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "used_walltime": 2.161465883255005, - "used_target_function_walltime": 1.39475417137146, - "last_update": 1707413456.540828, - "finished": true -} \ No newline at end of file diff --git a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/runhistory.json b/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/runhistory.json deleted file mode 100644 index 7abc9c4bc67db9b6d1b2875ae49be3d3ac34cd8a..0000000000000000000000000000000000000000 --- a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/runhistory.json +++ /dev/null @@ -1,664 +0,0 @@ -{ - "stats": { - "submitted": 20, - "finished": 20, - "running": 0 - }, - "data": [ - [ - 1, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.3796601, - 1707413454.382205, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 2, - null, - 209652396, - null, - [ - 0.0942237913295394, - 0.2272369825310349 - ], - 0.15013408660888672, - 1, - 1707413454.3836958, - 1707413454.5344589, - {} - ], - [ - 3, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.5366552, - 1707413454.5377972, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 4, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.539964, - 1707413454.540999, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 5, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.542984, - 1707413454.543963, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 6, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.8451252, - 1707413454.846237, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 7, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.848487, - 1707413454.8494358, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 8, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.852234, - 1707413454.853305, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 9, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.856153, - 1707413454.857109, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 10, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.860209, - 1707413454.8612092, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 11, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.863563, - 1707413454.8644989, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 12, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.866814, - 1707413454.86775, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 13, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413454.870833, - 1707413454.871839, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 14, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413455.267648, - 1707413455.2687979, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 15, - null, - 209652396, - null, - [ - 0.06037654948186555, - 0.017495148270587027 - ], - 0.6890890598297119, - 1, - 1707413455.271683, - 1707413455.961361, - {} - ], - [ - 16, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413455.965599, - 1707413455.966742, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 17, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413455.969793, - 1707413455.9708989, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 18, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413455.973919, - 1707413455.974928, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ], - [ - 19, - null, - 209652396, - null, - [ - 0.10304285288378401, - 0.5000901681266028 - ], - 0.5555310249328613, - 1, - 1707413455.977928, - 1707413456.53416, - {} - ], - [ - 20, - null, - 209652396, - null, - [ - Infinity, - Infinity - ], - 0.0, - 2, - 1707413456.537709, - 1707413456.538839, - { - "traceback": "Traceback (most recent call last):\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 184, in run\n rval = self(config_copy, target_function, kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/smac/runner/target_function_runner.py\", line 257, in __call__\n return algorithm(config, **algorithm_kwargs)\n File \"/Users/andreamaldonado/git_tree/tag/tag/generator.py\", line 163, in gen_log\n tree = generate_process_tree(parameters={\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/sim.py\", line 93, in generate_process_tree\n return algorithm.apply(**kwargs)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/algorithm.py\", line 55, in apply\n return exec_utils.get_variant(variant).apply(parameters=parameters)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 119, in apply\n return GeneratedTree(parameters).generate()\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 293, in __init__\n self.total_activities = int(round(self.draw_random_number_from_distribution()))\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/pm4py/algo/simulation/tree_generator/variants/ptandloggenerator.py\", line 164, in draw_random_number_from_distribution\n return self.activity_distribution.rvs(1)[0]\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 468, in rvs\n return self.dist.rvs(*self.args, **kwds)\n File \"/Users/andreamaldonado/miniconda3/envs/tag/lib/python3.9/site-packages/scipy/stats/_distn_infrastructure.py\", line 1036, in rvs\n raise ValueError(message)\nValueError: Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.\n", - "error": "ValueError('Domain error in arguments. The `scale` parameter must be positive for all distributions, and many distributions have restrictions on shape parameters. Please see the `scipy.stats.triang` documentation for details.')" - } - ] - ], - "configs": { - "1": { - "choice": 0.27420973585918546, - "duplicate": 0, - "loop": 0.6243590484932066, - "lt_dependency": 0.11643280289135872, - "max": 12, - "min": 36, - "mode": 22, - "num_traces": 965, - "or": 0, - "parallel": 0.9968127990048379, - "sequence": 0.7744139964226633, - "silent": 0.7162562181800604 - }, - "2": { - "choice": 0.7636231336928904, - "duplicate": 0, - "loop": 0.2753755502961576, - "lt_dependency": 0.9389623495284468, - "max": 39, - "min": 16, - "mode": 24, - "num_traces": 266, - "or": 0, - "parallel": 0.15723027363419534, - "sequence": 0.42967240599915385, - "silent": 0.12256621007807553 - }, - "3": { - "choice": 0.5534077303763479, - "duplicate": 0, - "loop": 0.9441540514025837, - "lt_dependency": 0.45226944354362786, - "max": 19, - "min": 13, - "mode": 33, - "num_traces": 769, - "or": 0, - "parallel": 0.3117050725314766, - "sequence": 0.12312715318985283, - "silent": 0.32291226397268474 - }, - "4": { - "choice": 0.049488366832956675, - "duplicate": 0, - "loop": 0.17938753484748304, - "lt_dependency": 0.6052992315869778, - "max": 28, - "min": 30, - "mode": 13, - "num_traces": 463, - "or": 0, - "parallel": 0.5948384316079318, - "sequence": 0.7077719158120453, - "silent": 0.9818906797654927 - }, - "5": { - "choice": 0.19955039026215673, - "duplicate": 0, - "loop": 0.8314401759952307, - "lt_dependency": 0.8422806031815707, - "max": 24, - "min": 25, - "mode": 18, - "num_traces": 616, - "or": 0, - "parallel": 0.4870224994421005, - "sequence": 0.20290152083151042, - "silent": 0.17355378899723292 - }, - "6": { - "choice": 0.892855270774259, - "duplicate": 0, - "loop": 0.09625800670452529, - "lt_dependency": 0.7827238845235909, - "max": 32, - "min": 29, - "mode": 9, - "num_traces": 245, - "or": 0, - "parallel": 0.14680112183512767, - "sequence": 0.47396468963122457, - "silent": 0.1275404417647016 - }, - "7": { - "choice": 0.7180374727086953, - "duplicate": 0, - "loop": 0.38960710363751994, - "lt_dependency": 0.8342936470924586, - "max": 28, - "min": 25, - "mode": 20, - "num_traces": 428, - "or": 0, - "parallel": 0.2607586865143843, - "sequence": 0.37503791895435445, - "silent": 0.6087970645475955 - }, - "8": { - "choice": 0.6494351719359895, - "duplicate": 0, - "loop": 0.9263406719097345, - "lt_dependency": 0.8011669785745563, - "max": 19, - "min": 27, - "mode": 29, - "num_traces": 192, - "or": 0, - "parallel": 0.11927138975266208, - "sequence": 0.10513742381502343, - "silent": 0.1289945956010372 - }, - "9": { - "choice": 0.6067357423109274, - "duplicate": 0, - "loop": 0.7938077877018379, - "lt_dependency": 0.780375183440352, - "max": 10, - "min": 5, - "mode": 30, - "num_traces": 614, - "or": 0, - "parallel": 0.47164766512774325, - "sequence": 0.8227832975494558, - "silent": 0.7418709436043187 - }, - "10": { - "choice": 0.5533253688880515, - "duplicate": 0, - "loop": 0.964026132896019, - "lt_dependency": 0.03001621346592246, - "max": 9, - "min": 21, - "mode": 17, - "num_traces": 384, - "or": 0, - "parallel": 0.6565772422107444, - "sequence": 0.20461653806325297, - "silent": 0.9769934773084338 - }, - "11": { - "choice": 0.5494343511669278, - "duplicate": 0, - "loop": 0.5336059705553754, - "lt_dependency": 0.8713120267643509, - "max": 39, - "min": 27, - "mode": 7, - "num_traces": 495, - "or": 0, - "parallel": 0.2519813360815867, - "sequence": 0.10613026303513065, - "silent": 0.04879591433177747 - }, - "12": { - "choice": 0.4432113391500656, - "duplicate": 0, - "loop": 0.08032569761590806, - "lt_dependency": 0.46686456863040254, - "max": 14, - "min": 38, - "mode": 12, - "num_traces": 288, - "or": 0, - "parallel": 0.6597662935706207, - "sequence": 0.9766948703632617, - "silent": 0.3031787955469235 - }, - "13": { - "choice": 0.42941825134551564, - "duplicate": 0, - "loop": 0.572364115482993, - "lt_dependency": 0.9788321588104364, - "max": 23, - "min": 27, - "mode": 29, - "num_traces": 991, - "or": 0, - "parallel": 0.16737988780906454, - "sequence": 0.8395654584238159, - "silent": 0.2899788929506455 - }, - "14": { - "choice": 0.32480334760003626, - "duplicate": 0, - "loop": 0.5801870306006175, - "lt_dependency": 0.5906478054619824, - "max": 13, - "min": 30, - "mode": 31, - "num_traces": 695, - "or": 0, - "parallel": 0.578581996361083, - "sequence": 0.8081320491556249, - "silent": 0.17086800532961108 - }, - "15": { - "choice": 0.272735596030051, - "duplicate": 0, - "loop": 0.7191639320773799, - "lt_dependency": 0.2773078934602432, - "max": 39, - "min": 25, - "mode": 26, - "num_traces": 369, - "or": 0, - "parallel": 0.3738862513474176, - "sequence": 0.9988585365021878, - "silent": 0.5734097312284474 - }, - "16": { - "choice": 0.07350602138529651, - "duplicate": 0, - "loop": 0.3253832629268104, - "lt_dependency": 0.8306506289251895, - "max": 26, - "min": 34, - "mode": 39, - "num_traces": 657, - "or": 0, - "parallel": 0.655582237301672, - "sequence": 0.10922461843917809, - "silent": 0.13258178302094709 - }, - "17": { - "choice": 0.5709354396645094, - "duplicate": 0, - "loop": 0.14047988378034826, - "lt_dependency": 0.6810383714282678, - "max": 13, - "min": 36, - "mode": 20, - "num_traces": 222, - "or": 0, - "parallel": 0.8975811298925523, - "sequence": 0.7170988865536203, - "silent": 0.8092457691377606 - }, - "18": { - "choice": 0.6955473981763196, - "duplicate": 0, - "loop": 0.6707362761640449, - "lt_dependency": 0.014648521430621595, - "max": 25, - "min": 19, - "mode": 28, - "num_traces": 486, - "or": 0, - "parallel": 0.43710425107963424, - "sequence": 0.9202877876072268, - "silent": 0.849528147029012 - }, - "19": { - "choice": 0.4201203645695233, - "duplicate": 0, - "loop": 0.930003235600452, - "lt_dependency": 0.029906470725618618, - "max": 25, - "min": 15, - "mode": 23, - "num_traces": 361, - "or": 0, - "parallel": 0.6566688116585623, - "sequence": 0.7068496977049626, - "silent": 0.6194039686410058 - }, - "20": { - "choice": 0.700454485413118, - "duplicate": 0, - "loop": 0.45900725585128815, - "lt_dependency": 0.7248350434756444, - "max": 36, - "min": 40, - "mode": 35, - "num_traces": 110, - "or": 0, - "parallel": 0.36637828383358023, - "sequence": 0.7326906567998175, - "silent": 0.17991338048882613 - } - }, - "config_origins": { - "1": "Initial Design: Sobol", - "2": "Initial Design: Sobol", - "3": "Initial Design: Sobol", - "4": "Initial Design: Sobol", - "5": "Initial Design: Sobol", - "6": "Acquisition Function Maximizer: Random Search (sorted)", - "7": "Acquisition Function Maximizer: Random Search (sorted)", - "8": "Acquisition Function Maximizer: Random Search (sorted)", - "9": "Acquisition Function Maximizer: Random Search (sorted)", - "10": "Acquisition Function Maximizer: Random Search (sorted)", - "11": "Acquisition Function Maximizer: Random Search (sorted)", - "12": "Acquisition Function Maximizer: Random Search (sorted)", - "13": "Acquisition Function Maximizer: Random Search (sorted)", - "14": "Acquisition Function Maximizer: Random Search (sorted)", - "15": "Acquisition Function Maximizer: Random Search (sorted)", - "16": "Acquisition Function Maximizer: Random Search (sorted)", - "17": "Acquisition Function Maximizer: Random Search (sorted)", - "18": "Acquisition Function Maximizer: Random Search (sorted)", - "19": "Acquisition Function Maximizer: Random Search (sorted)", - "20": "Random Search" - } -} \ No newline at end of file diff --git a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/scenario.json b/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/scenario.json deleted file mode 100644 index 40addf99bb436e1959979abc40d0c67e7d446f99..0000000000000000000000000000000000000000 --- a/smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0/scenario.json +++ /dev/null @@ -1,190 +0,0 @@ -{ - "name": "e30e5a3a416759f743f03dfa8ee8d5c9", - "deterministic": true, - "objectives": [ - "epa_normalized_sequence_entropy", - "ratio_most_common_variant" - ], - "crash_cost": Infinity, - "termination_cost_threshold": Infinity, - "walltime_limit": Infinity, - "cputime_limit": Infinity, - "trial_walltime_limit": null, - "trial_memory_limit": null, - "n_trials": 20, - "use_default_config": false, - "instances": null, - "instance_features": null, - "min_budget": null, - "max_budget": null, - "seed": 0, - "n_workers": -1, - "_meta": { - "facade": { - "name": "HyperparameterOptimizationFacade" - }, - "runner": { - "name": "TargetFunctionRunner", - "code": "b't\\x00|\\x01d\\x01\\x19\\x00|\\x01d\\x02\\x19\\x00|\\x01d\\x03\\x19\\x00|\\x01d\\x04\\x19\\x00|\\x01d\\x05\\x19\\x00|\\x01d\\x06\\x19\\x00|\\x01d\\x07\\x19\\x00|\\x01d\\x08\\x19\\x00|\\x01d\\t\\x19\\x00|\\x01d\\n\\x19\\x00|\\x01d\\x0b\\x19\\x00d\\x0cd\\r\\x9c\\x0cd\\x0e\\x8d\\x01}\\x03t\\x01|\\x03d\\x0f|\\x01d\\x0f\\x19\\x00i\\x01d\\x0e\\x8d\\x02}\\x04|\\x00\\xa0\\x02|\\x04\\xa1\\x01S\\x00'" - }, - "model": { - "name": "RandomForest", - "types": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0 - ], - "bounds": [ - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - NaN - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ], - [ - 0, - 1.0 - ] - ], - "pca_components": 7, - "n_trees": 10, - "n_points_per_tree": -1, - "ratio_features": 1.0, - "min_samples_split": 2, - "min_samples_leaf": 1, - "max_depth": 1048576, - "eps_purity": 1e-08, - "max_nodes": 1048576, - "bootstrapping": true - }, - "acquisition_maximizer": { - "name": "LocalAndSortedRandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 10000, - "seed": 0, - "random_search": { - "name": "RandomSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0 - }, - "local_search": { - "name": "LocalSearch", - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "challengers": 5000, - "seed": 0, - "max_steps": null, - "n_steps_plateau_walk": 10, - "vectorization_min_obtain": 2, - "vectorization_max_obtain": 64 - } - }, - "acquisition_function": { - "name": "EI", - "xi": 0.0, - "log": true - }, - "intensifier": { - "name": "Intensifier", - "max_incumbents": 10, - "seed": 0 - }, - "initial_design": { - "name": "SobolInitialDesign", - "n_configs": 5, - "n_configs_per_hyperparameter": 10, - "additional_configs": [], - "seed": 0 - }, - "random_design": { - "name": "ProbabilityRandomDesign", - "seed": 0, - "probability": 0.2 - }, - "runhistory_encoder": { - "name": "RunHistoryLogScaledEncoder", - "considered_states": [ - 1, - 2, - 4 - ], - "lower_budget_states": [], - "scale_percentage": 5, - "seed": 0 - }, - "multi_objective_algorithm": { - "name": "MeanAggregationStrategy", - "objective_weights": [ - 1, - 1 - ] - }, - "config_selector": { - "name": "ConfigSelector", - "retrain_after": 8, - "retries": 16, - "min_trials": 1 - }, - "version": "2.0.2" - }, - "output_directory": "smac3_output/e30e5a3a416759f743f03dfa8ee8d5c9/0" -} \ No newline at end of file diff --git a/smac3_output/e3722becc977f384e8fea6fa0b001f1f/0/configspace.json b/smac3_output/e3722becc977f384e8fea6fa0b001f1f/0/configspace.json deleted file mode 100644 index 262e7029d5680bb92964d08ca5fb6acdf55ba84a..0000000000000000000000000000000000000000 --- a/smac3_output/e3722becc977f384e8fea6fa0b001f1f/0/configspace.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "hyperparameters": [ - { - "name": "choice", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "duplicate", - "type": "constant", - "value": 0 - }, - { - "name": "loop", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "lt_dependency", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "mode", - "type": "uniform_int", - "log": false, - "lower": 5, - "upper": 40, - "default": 22, - "q": null - }, - { - "name": "num_traces", - "type": "uniform_int", - "log": false, - "lower": 100, - "upper": 1001, - "default": 550, - "q": null - }, - { - "name": "or", - "type": "constant", - "value": 0 - }, - { - "name": "parallel", - "type": "uniform_float", - "log": false, - "lower": 0.01, - "upper": 1.0, - "default": 0.505, - "q": null - }, - { - "name": "sequence", - "type": "uniform_float", - 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