Pushing the docs to dev/ for branch: master, commit 4f5384b249c488ada8dd012bdc029600ac912917

Author: sklearn-ci

dev/_downloads/3409d9766d352cc9f9b169d4a799a87a/auto_examples_python.zip

@@ -225,17 +225,21 @@
 # ---------------------------------------------------
 # Developers can check the compatibility of their scikit-learn compatible
 # estimators using :func:`~utils.estimator_checks.check_estimator`. For
-# instance, the ``check_estimator(LinearSVC)`` passes.
+# instance, the ``check_estimator(LinearSVC())`` passes.
 #
 # We now provide a ``pytest`` specific decorator which allows ``pytest``
 # to run all checks independently and report the checks that are failing.
+#
+# ..note::
+#   This entry was slightly updated in version 0.24, where passing classes
+#   isn't supported anymore: pass instances instead.
 
 from sklearn.linear_model import LogisticRegression
 from sklearn.tree import DecisionTreeRegressor
 from sklearn.utils.estimator_checks import parametrize_with_checks
 
 
-@parametrize_with_checks([LogisticRegression, DecisionTreeRegressor])
+@parametrize_with_checks([LogisticRegression(), DecisionTreeRegressor()])
 def test_sklearn_compatible_estimator(estimator, check):
     check(estimator)
 

dev/_downloads/7ee55c12f8d3eb1dd8d2005d9dd7b6f1/plot_release_highlights_0_22_0.py

@@ -166,7 +166,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Checking scikit-learn compatibility of an estimator\n---------------------------------------------------\nDevelopers can check the compatibility of their scikit-learn compatible\nestimators using :func:`~utils.estimator_checks.check_estimator`. For\ninstance, the ``check_estimator(LinearSVC)`` passes.\n\nWe now provide a ``pytest`` specific decorator which allows ``pytest``\nto run all checks independently and report the checks that are failing.\n\n"
+        "Checking scikit-learn compatibility of an estimator\n---------------------------------------------------\nDevelopers can check the compatibility of their scikit-learn compatible\nestimators using :func:`~utils.estimator_checks.check_estimator`. For\ninstance, the ``check_estimator(LinearSVC())`` passes.\n\nWe now provide a ``pytest`` specific decorator which allows ``pytest``\nto run all checks independently and report the checks that are failing.\n\n..note::\n  This entry was slightly updated in version 0.24, where passing classes\n  isn't supported anymore: pass instances instead.\n\n"
       ]
     },
     {
@@ -177,7 +177,7 @@
       },
       "outputs": [],
       "source": [
-        "from sklearn.linear_model import LogisticRegression\nfrom sklearn.tree import DecisionTreeRegressor\nfrom sklearn.utils.estimator_checks import parametrize_with_checks\n\n\n@parametrize_with_checks([LogisticRegression, DecisionTreeRegressor])\ndef test_sklearn_compatible_estimator(estimator, check):\n    check(estimator)"
+        "from sklearn.linear_model import LogisticRegression\nfrom sklearn.tree import DecisionTreeRegressor\nfrom sklearn.utils.estimator_checks import parametrize_with_checks\n\n\n@parametrize_with_checks([LogisticRegression(), DecisionTreeRegressor()])\ndef test_sklearn_compatible_estimator(estimator, check):\n    check(estimator)"
       ]
     },
     {