DOC add attributes documentation to class KernelCenterer and MinMaxScaler
@@ -260,6 +260,11 @@ class MinMaxScaler(BaseEstimator, TransformerMixin):
.. versionadded:: 0.17
*data_range_*
+ n_samples_seen_ : int
+ The number of samples processed by the estimator.
+ It will be reset on new calls to fit, but increments across
+ ``partial_fit`` calls.
+
Examples
--------
>>> from sklearn.preprocessing import MinMaxScaler
@@ -1888,6 +1893,14 @@ class KernelCenterer(BaseEstimator, TransformerMixin):
Read more in the :ref:`User Guide <kernel_centering>`.
+ Attributes
+ ----------
+ K_fit_rows_ : array, shape (n_samples,)
+ Average of each column of kernel matrix
+
+ K_fit_all_ : float
+ Average of kernel matrix
+
Examples
--------
>>> from sklearn.preprocessing import KernelCenterer
