Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5137#discussion_r27424669
--- Diff: python/pyspark/mllib/classification.py ---
@@ -223,6 +284,12 @@ def train(cls, data, iterations=100,
initialWeights=None, regParam=0.01, regType
update (default: 10).
:param tolerance: The convergence tolerance of iterations for
L-BFGS (default: 1e-4).
+ :param validateData: Boolean parameter which indicates if the
+ algorithm should validate data before
training.
+ (default: True)
+ :param numClasses: The number of possible outcomes for k
classes
--- End diff --
Better phrasing: "The number of possible outcomes for k classes
classification problem"
-->
"The number of classes (i.e., outcomes) a label can take"
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