Pushing the docs to dev/ for branch: main, commit 0b32be0019724c06e6195ad99035c7cb3cce3481

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -315,7 +315,7 @@
       },
       "outputs": [],
       "source": [
-        "def evaluate(model, X, y, cv):\n    cv_results = cross_validate(\n        model,\n        X,\n        y,\n        cv=ts_cv,\n        scoring=[\"neg_mean_absolute_error\", \"neg_root_mean_squared_error\"],\n    )\n    mae = -cv_results[\"test_neg_mean_absolute_error\"]\n    rmse = -cv_results[\"test_neg_root_mean_squared_error\"]\n    print(\n        f\"Mean Absolute Error:     {mae.mean():.3f} +/- {mae.std():.3f}\\n\"\n        f\"Root Mean Squared Error: {rmse.mean():.3f} +/- {rmse.std():.3f}\"\n    )\n\n\nevaluate(gbrt_pipeline, X, y, cv=ts_cv)"
+        "def evaluate(model, X, y, cv):\n    cv_results = cross_validate(\n        model,\n        X,\n        y,\n        cv=cv,\n        scoring=[\"neg_mean_absolute_error\", \"neg_root_mean_squared_error\"],\n    )\n    mae = -cv_results[\"test_neg_mean_absolute_error\"]\n    rmse = -cv_results[\"test_neg_root_mean_squared_error\"]\n    print(\n        f\"Mean Absolute Error:     {mae.mean():.3f} +/- {mae.std():.3f}\\n\"\n        f\"Root Mean Squared Error: {rmse.mean():.3f} +/- {rmse.std():.3f}\"\n    )\n\n\nevaluate(gbrt_pipeline, X, y, cv=ts_cv)"
       ]
     },
     {

dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip

@@ -223,7 +223,7 @@ def evaluate(model, X, y, cv):
         model,
         X,
         y,
-        cv=ts_cv,
+        cv=cv,
         scoring=["neg_mean_absolute_error", "neg_root_mean_squared_error"],
     )
     mae = -cv_results["test_neg_mean_absolute_error"]