fix eval code links

results/models_info/Moirai_base/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-base",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/moirai.ipynb"
 }

results/models_info/Moirai_large/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-large",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/moirai.ipynb"
 }

results/models_info/Moirai_small/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Salesforce/moirai-1.1-R-small",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/moirai.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/moirai.ipynb"
 }

results/models_info/Timer/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://github.com/thuml/Large-Time-Series-Model",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/timer.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/timer.ipynb"
 }

results/models_info/auto_arima/config.json

@@ -3,5 +3,5 @@
     "tmp_name": "autoarima",
     "model_type": "statistical",
     "model_dtype": "float32",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autoarima.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/autoarima.ipynb"
 }

results/models_info/auto_ets/config.json

@@ -3,5 +3,5 @@
     "tmp_name": "autoets",
     "model_type": "statistical",
     "model_dtype": "float32",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autoets.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/autoets.ipynb"
 }

results/models_info/auto_theta/config.json

@@ -3,5 +3,5 @@
     "tmp_name": "autotheta",
     "model_type": "statistical",
     "model_dtype": "float32",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/autotheta.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/autotheta.ipynb"
 }

results/models_info/chronos_bolt_base/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/amazon/chronos-bolt-base",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/chronos.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/chronos.ipynb"
 }

results/models_info/chronos_bolt_small/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/amazon/chronos-bolt-small",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/chronos.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/chronos.ipynb"
 }

results/models_info/seasonal_naive/config.json

@@ -3,5 +3,5 @@
     "tmp_name": "seasonalnaive",
     "model_type": "statistical",
     "model_dtype": "float32",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/seasonalnaive.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/seasonalnaive.ipynb"
 }

results/models_info/time-moe-200M/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Maple728/TimeMoE-200M",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/time-moe.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/time-moe.ipynb"
 }

results/models_info/time-moe-50M/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Maple728/TimeMoE-50M",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/time-moe.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/time-moe.ipynb"
 }

results/models_info/timesfm_2_0_500m/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/google/timesfm-2.0-500m-jax",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/timesfm.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/timesfm.ipynb"
 }

results/models_info/toto/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://huggingface.co/Datadog/Toto-Open-Base-1.0",
-    "code_link": "https://github.com/DataDog/toto/blob/main/toto/notebooks/inference_tutorial.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/toto.ipynb"
 }

results/models_info/visionts/config.json

@@ -4,5 +4,5 @@
     "model_type": "pretrained",
     "model_dtype": "float32",
     "model_link": "https://github.com/Keytoyze/VisionTS",
-    "code_link": "https://github.com/DataDog/toto/blob/anna/lsf-eval/boom/notebooks/visonts.ipynb"
+    "code_link": "https://github.com/DataDog/toto/blob/main/boom/notebooks/visonts.ipynb"
 }