removing incrementalPCA example in basePCA
@@ -109,17 +109,6 @@ class _BasePCA(TransformerMixin, BaseEstimator, metaclass=ABCMeta):
Returns
-------
X_new : array-like, shape (n_samples, n_components)
-
- Examples
- --------
-
- >>> import numpy as np
- >>> from sklearn.decomposition import IncrementalPCA
- >>> X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
- >>> ipca = IncrementalPCA(n_components=2, batch_size=3)
- >>> ipca.fit(X)
- IncrementalPCA(batch_size=3, n_components=2)
- >>> ipca.transform(X) # doctest: +SKIP
"""
check_is_fitted(self)
