diff --git a/sklearn/cross_decomposition/_pls.py b/sklearn/cross_decomposition/_pls.py index 72ee5d4af6ba6..125c5946b1562 100644 --- a/sklearn/cross_decomposition/_pls.py +++ b/sklearn/cross_decomposition/_pls.py @@ -530,6 +530,8 @@ class PLSRegression(_PLS): Read more in the :ref:`User Guide `. + .. versionadded:: 0.8 + Parameters ---------- n_components : int, (default 2) @@ -668,6 +670,8 @@ class PLSCanonical(_PLS): Read more in the :ref:`User Guide `. + .. versionadded:: 0.8 + Parameters ---------- n_components : int, (default 2). @@ -810,6 +814,8 @@ class PLSSVD(TransformerMixin, BaseEstimator): Read more in the :ref:`User Guide `. + .. versionadded:: 0.8 + Parameters ---------- n_components : int, default 2 diff --git a/sklearn/feature_extraction/image.py b/sklearn/feature_extraction/image.py index 2cec6739e7f98..d0da784c526d7 100644 --- a/sklearn/feature_extraction/image.py +++ b/sklearn/feature_extraction/image.py @@ -298,6 +298,7 @@ def _extract_patches(arr, patch_shape=8, extraction_step=1): patches = as_strided(arr, shape=shape, strides=strides) return patches + @deprecated("The function feature_extraction.image.extract_patches has been " "deprecated in 0.22 and will be removed in 0.24.") def extract_patches(arr, patch_shape=8, extraction_step=1): @@ -483,6 +484,8 @@ class PatchExtractor(BaseEstimator): Read more in the :ref:`User Guide `. + .. versionadded:: 0.9 + Parameters ---------- patch_size : tuple of ints (patch_height, patch_width) diff --git a/sklearn/model_selection/_split.py b/sklearn/model_selection/_split.py index 9a85b4049a3c3..bb0643e8c8edb 100644 --- a/sklearn/model_selection/_split.py +++ b/sklearn/model_selection/_split.py @@ -1816,6 +1816,8 @@ class PredefinedSplit(BaseCrossValidator): Read more in the :ref:`User Guide `. + .. versionadded:: 0.16 + Parameters ---------- test_fold : array-like, shape (n_samples,) diff --git a/sklearn/pipeline.py b/sklearn/pipeline.py index e4ac9007fe8e5..453ce2228d50d 100644 --- a/sklearn/pipeline.py +++ b/sklearn/pipeline.py @@ -47,6 +47,8 @@ class Pipeline(_BaseComposition): Read more in the :ref:`User Guide `. + .. versionadded:: 0.5 + Parameters ---------- steps : list diff --git a/sklearn/preprocessing/_data.py b/sklearn/preprocessing/_data.py index cae75be2e591c..9227efa958b43 100644 --- a/sklearn/preprocessing/_data.py +++ b/sklearn/preprocessing/_data.py @@ -2679,6 +2679,8 @@ class PowerTransformer(TransformerMixin, BaseEstimator): Read more in the :ref:`User Guide `. + .. versionadded:: 0.20 + Parameters ---------- method : str, (default='yeo-johnson')