DOC update LatentDirichletAllocation `components_` description
@@ -228,8 +228,13 @@ class LatentDirichletAllocation(BaseEstimator, TransformerMixin):
Attributes
----------
components_ : array, [n_topics, n_features]
- Topic word distribution. ``components_[i, j]`` represents word j in
- topic `i`.
+ Variational parameters for topic word distribution. Since the complete
+ conditional for topic word distribution is a Dirichlet,
+ ``components_[i, j]`` can be viewed as pseudocount that represents the
+ number of times word `j` was assigned to topic `i`.
+ It can also be viewed as distribution over the words for each topic
+ after normalization:
+ ``model.components_ / model.components_.sum(axis=1)[:, np.newaxis]``.
n_batch_iter_ : int
Number of iterations of the EM step.
