Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6791#discussion_r33093425
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -274,5 +276,63 @@ def _test():
exit(-1)
+class LDAModel(JavaModelWrapper):
+
+ """ A clustering model derived from the LDA method.
+
+ Latent Dirichlet Allocation (LDA), a topic model designed for text
documents.
+ Terminologyu
+ - "word" = "term": an element of the vocabulary
+ - "token": instance of a term appearing in a document
+ - "topic": multinomial distribution over words representing some
concept
+ References:
+ - Original LDA paper (journal version):
+ Blei, Ng, and Jordan. "Latent Dirichlet Allocation." JMLR, 2003.
+
+ >>> from pyspark.mllib.linalg import Vectors
+ >>> from collections import namedtuple
--- End diff --
not needed
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