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Remove the doc comment about the optimizer's default value
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python/pyspark/mllib/clustering.py

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@@ -629,8 +629,8 @@ def train(cls, rdd, k=10, maxIterations=20, docConcentration=-1.0,
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for the prior placed on topics' distributions over terms.
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:param seed: Random Seed
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:param checkpointInterval: Period (in iterations) between checkpoints.
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:param optimizer: LDAOptimizer used to perform the actual calculation
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(default = EMLDAOptimizer). Currently "em", "online" are supported. Default to "em".
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:param optimizer: LDAOptimizer used to perform the actual calculation.
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Currently "em", "online" are supported. Default to "em".
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"""
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model = callMLlibFunc("trainLDAModel", rdd, k, maxIterations,
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docConcentration, topicConcentration, seed,

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