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12 changes: 0 additions & 12 deletions sklearn/naive_bayes.py
Original file line number Diff line number Diff line change
Expand Up @@ -157,9 +157,6 @@ class labels known to the classifier
epsilon_ : float
absolute additive value to variances

classes_ : array-like, shape (n_classes,)
Unique class labels.

Examples
--------
>>> import numpy as np
Expand Down Expand Up @@ -718,9 +715,6 @@ class MultinomialNB(_BaseDiscreteNB):
n_features_ : int
Number of features of each sample.

classes_ : array-like, shape (n_classes,)
Unique class labels.

Examples
--------
>>> import numpy as np
Expand Down Expand Up @@ -828,9 +822,6 @@ class ComplementNB(_BaseDiscreteNB):
Number of samples encountered for each feature during fitting. This
value is weighted by the sample weight when provided.

classes_ : array of shape (n_classes,)
The classes labels.

Examples
--------
>>> import numpy as np
Expand Down Expand Up @@ -939,9 +930,6 @@ class BernoulliNB(_BaseDiscreteNB):
n_features_ : int
Number of features of each sample.

classes_ : array of shape (n_classes,)
The classes labels.

See Also
----------
MultinomialNB: The multinomial Naive Bayes classifier is \
Expand Down