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| """Various functions to deprecate features.""" | |
| import warnings | |
| from .julia_import import jl | |
| def install(*args, **kwargs): | |
| del args, kwargs | |
| warnings.warn( | |
| "The `install` function has been removed. " | |
| "PySR now uses the `juliacall` package to install its dependencies automatically at import time. ", | |
| FutureWarning, | |
| ) | |
| def init_julia(*args, **kwargs): | |
| del args, kwargs | |
| warnings.warn( | |
| "The `init_julia` function has been removed. " | |
| "Julia is now initialized automatically at import time.", | |
| FutureWarning, | |
| ) | |
| return jl | |
| def pysr(X, y, weights=None, **kwargs): # pragma: no cover | |
| from .sr import PySRRegressor | |
| warnings.warn( | |
| "Calling `pysr` is deprecated. " | |
| "Please use `model = PySRRegressor(**params); " | |
| "model.fit(X, y)` going forward.", | |
| FutureWarning, | |
| ) | |
| model = PySRRegressor(**kwargs) | |
| model.fit(X, y, weights=weights) | |
| return model.equations_ | |
| def best(*args, **kwargs): # pragma: no cover | |
| raise NotImplementedError( | |
| "`best` has been deprecated. " | |
| "Please use the `PySRRegressor` interface. " | |
| "After fitting, you can return `.sympy()` " | |
| "to get the sympy representation " | |
| "of the best equation." | |
| ) | |
| def best_row(*args, **kwargs): # pragma: no cover | |
| raise NotImplementedError( | |
| "`best_row` has been deprecated. " | |
| "Please use the `PySRRegressor` interface. " | |
| "After fitting, you can run `print(model)` to view the best equation, " | |
| "or " | |
| "`model.get_best()` to return the best equation's " | |
| "row in `model.equations_`." | |
| ) | |
| def best_tex(*args, **kwargs): # pragma: no cover | |
| raise NotImplementedError( | |
| "`best_tex` has been deprecated. " | |
| "Please use the `PySRRegressor` interface. " | |
| "After fitting, you can return `.latex()` to " | |
| "get the sympy representation " | |
| "of the best equation." | |
| ) | |
| def best_callable(*args, **kwargs): # pragma: no cover | |
| raise NotImplementedError( | |
| "`best_callable` has been deprecated. Please use the `PySRRegressor` " | |
| "interface. After fitting, you can use " | |
| "`.predict(X)` to use the best callable." | |
| ) | |
| DEPRECATED_KWARGS = { | |
| "fractionReplaced": "fraction_replaced", | |
| "fractionReplacedHof": "fraction_replaced_hof", | |
| "npop": "population_size", | |
| "hofMigration": "hof_migration", | |
| "shouldOptimizeConstants": "should_optimize_constants", | |
| "weightAddNode": "weight_add_node", | |
| "weightDeleteNode": "weight_delete_node", | |
| "weightDoNothing": "weight_do_nothing", | |
| "weightInsertNode": "weight_insert_node", | |
| "weightMutateConstant": "weight_mutate_constant", | |
| "weightMutateOperator": "weight_mutate_operator", | |
| "weightSwapOperands": "weight_swap_operands", | |
| "weightRandomize": "weight_randomize", | |
| "weightSimplify": "weight_simplify", | |
| "crossoverProbability": "crossover_probability", | |
| "perturbationFactor": "perturbation_factor", | |
| "batchSize": "batch_size", | |
| "warmupMaxsizeBy": "warmup_maxsize_by", | |
| "useFrequency": "use_frequency", | |
| "useFrequencyInTournament": "use_frequency_in_tournament", | |
| "ncyclesperiteration": "ncycles_per_iteration", | |
| "loss": "elementwise_loss", | |
| "full_objective": "loss_function", | |
| } | |