DOC added missing attributes in SkewedChi2Sampler
@@ -159,6 +159,16 @@ class SkewedChi2Sampler(TransformerMixin, BaseEstimator):
Pass an int for reproducible output across multiple function calls.
See :term:`Glossary <random_state>`.
+ Attributes
+ ----------
+ random_weights_ : ndarray of shape (n_features, n_components)
+ Weight array, sampled from a secant hyperbolic distribution, which will
+ be used to linearly transform the log of the data.
+
+ random_offset_ : ndarray of shape (n_features, n_components)
+ Bias term, which will be added to the data. It is uniformly distributed
+ between 0 and 2*pi.
+
Examples
--------
>>> from sklearn.kernel_approximation import SkewedChi2Sampler
