diff --git a/sklearn/cross_decomposition/_pls.py b/sklearn/cross_decomposition/_pls.py
index a429872020ad0..09c4b7f16f0d3 100644
--- a/sklearn/cross_decomposition/_pls.py
+++ b/sklearn/cross_decomposition/_pls.py
@@ -634,6 +634,8 @@ class PLSRegression(_PLS):
     In french but still a reference:
     Tenenhaus, M. (1998). La regression PLS: theorie et pratique. Paris:
     Editions Technic.
+
+    .. versionadded:: 0.8
     """
 
     def __init__(self, n_components=2, scale=True,
@@ -778,6 +780,8 @@ class PLSCanonical(_PLS):
     --------
     CCA
     PLSSVD
+
+    .. versionadded:: 0.8
     """
 
     def __init__(self, n_components=2, scale=True, algorithm="nipals",
@@ -845,6 +849,8 @@ class PLSSVD(TransformerMixin, BaseEstimator):
     --------
     PLSCanonical
     CCA
+
+    .. versionadded:: 0.8
     """
 
     def __init__(self, n_components=2, scale=True, copy=True):
diff --git a/sklearn/feature_extraction/image.py b/sklearn/feature_extraction/image.py
index 2cec6739e7f98..6ad439c0c6f00 100644
--- a/sklearn/feature_extraction/image.py
+++ b/sklearn/feature_extraction/image.py
@@ -513,6 +513,8 @@ class PatchExtractor(BaseEstimator):
     >>> pe_trans = pe.transform(X)
     >>> print('Patches shape: {}'.format(pe_trans.shape))
     Patches shape: (545706, 2, 2)
+
+    .. versionadded:: 0.9
     """
 
     def __init__(self, patch_size=None, max_patches=None, random_state=None):
diff --git a/sklearn/model_selection/_split.py b/sklearn/model_selection/_split.py
index 8aa49884f26e3..d4954eeb2ec1f 100644
--- a/sklearn/model_selection/_split.py
+++ b/sklearn/model_selection/_split.py
@@ -1842,6 +1842,8 @@ class PredefinedSplit(BaseCrossValidator):
     ...    y_train, y_test = y[train_index], y[test_index]
     TRAIN: [1 2 3] TEST: [0]
     TRAIN: [0 2] TEST: [1 3]
+
+    .. versionadded:: 0.16
     """
 
     def __init__(self, test_fold):
diff --git a/sklearn/pipeline.py b/sklearn/pipeline.py
index a232a8a7b61fb..14beb6c8ae9a4 100644
--- a/sklearn/pipeline.py
+++ b/sklearn/pipeline.py
@@ -122,6 +122,9 @@ class Pipeline(_BaseComposition):
     (1, 10)
     >>> sub_pipeline.inverse_transform(coef).shape
     (1, 20)
+
+    .. versionadded:: 0.5
+
     """
 
     # BaseEstimator interface
diff --git a/sklearn/preprocessing/_data.py b/sklearn/preprocessing/_data.py
index 72ab1f9b45a57..c2226613c09cb 100644
--- a/sklearn/preprocessing/_data.py
+++ b/sklearn/preprocessing/_data.py
@@ -2715,6 +2715,8 @@ class PowerTransformer(TransformerMixin, BaseEstimator):
 
     .. [2] G.E.P. Box and D.R. Cox, "An Analysis of Transformations", Journal
            of the Royal Statistical Society B, 26, 211-252 (1964).
+
+    .. versionadded:: 0.19.2
     """
     def __init__(self, method='yeo-johnson', standardize=True, copy=True):
         self.method = method