DOC Clarified documentation of X_transformed_fit_ and dual_coef_ in KernelPCA
@@ -107,10 +107,12 @@ class KernelPCA(BaseEstimator, TransformerMixin):
`remove_zero_eig` are not set, then all components are stored.
dual_coef_ : array, (n_samples, n_features)
- Inverse transform matrix. Set if `fit_inverse_transform` is True.
+ Inverse transform matrix. Only available when
+ ``fit_inverse_transform`` is True.
X_transformed_fit_ : array, (n_samples, n_components)
Projection of the fitted data on the kernel principal components.
+ Only available when ``fit_inverse_transform`` is True.
X_fit_ : (n_samples, n_features)
The data used to fit the model. If `copy_X=False`, then `X_fit_` is
