Pushing the docs to dev/ for branch: main, commit 98a3fdf6ef6b0b389db44a647c83b32904767df2

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -60,7 +60,7 @@
 
 # %%
 # Each transformer in the pipeline is configured to return DataFrames. This
-# means that the final logistic regression step contains the feature names of the input.
+# means that the final logistic regression step contain the feature names.
 clf[-1].feature_names_in_
 
 # %%
@@ -75,7 +75,7 @@
 
 # %%
 # The `set_output` API can be configured globally by using :func:`set_config` and
-# setting `transform_output` to `"pandas"`.
+# setting the `transform_output` to `"pandas"`.
 from sklearn.compose import ColumnTransformer
 from sklearn.preprocessing import OneHotEncoder, StandardScaler
 from sklearn.impute import SimpleImputer

dev/_downloads/1b3f17ff0f112d5b77cbdb90f1c17046/plot_set_output.py

@@ -94,7 +94,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Each transformer in the pipeline is configured to return DataFrames. This\nmeans that the final logistic regression step contains the feature names of the input.\n\n"
+        "Each transformer in the pipeline is configured to return DataFrames. This\nmeans that the final logistic regression step contain the feature names.\n\n"
       ]
     },
     {
@@ -130,7 +130,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "The `set_output` API can be configured globally by using :func:`set_config` and\nsetting `transform_output` to `\"pandas\"`.\n\n"
+        "The `set_output` API can be configured globally by using :func:`set_config` and\nsetting the `transform_output` to `\"pandas\"`.\n\n"
       ]
     },
     {