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[SPARK-6259][MLlib] Python API for LDA #6791

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[SPARK-6259][MLlib] Python API for LDA #6791

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25ef2ac
Resolve conflicts with rebasing
yu-iskw Jul 2, 2015
68f0653
Support some parameters for `ALS.train()` in Python
yu-iskw Jun 12, 2015
77fd1b7
Not use LabeledPoint
yu-iskw Jun 19, 2015
8117e18
Fix the validation problems by `lint-scala`
yu-iskw Jun 23, 2015
39514ec
Modify how to cast the input data
yu-iskw Jun 23, 2015
2278829
Fix the indentation
yu-iskw Jun 23, 2015
73412c3
Fix the typo
yu-iskw Jun 23, 2015
57ac03d
Remove the unnecessary import in Python unit testing
yu-iskw Jun 23, 2015
98f645a
Remove the interface for `describeTopics`. Because it is not implemen…
yu-iskw Jun 23, 2015
faa9764
Add some comments for the LDA paramters
yu-iskw Jun 23, 2015
9f8bed8
Simplify casting
yu-iskw Jul 2, 2015
083e226
Add the comment about the supported values and the default value of `…
yu-iskw Jul 2, 2015
d7a332a
Remove the doc comment about the optimizer's default value
yu-iskw Jul 9, 2015
28bd165
Change the place of testing code
yu-iskw Jul 14, 2015
6855f59
LDA inherits object
yu-iskw Jul 14, 2015
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Remove the doc comment about the optimizer's default value
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@yu-iskw
yu-iskw committed Jul 15, 2015
commit d7a332ab8b457a3597c0acc477ae37bf17df354b
4 changes: 2 additions & 2 deletions python/pyspark/mllib/clustering.py
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Expand Up @@ -629,8 +629,8 @@ def train(cls, rdd, k=10, maxIterations=20, docConcentration=-1.0,
for the prior placed on topics' distributions over terms.
:param seed: Random Seed
:param checkpointInterval: Period (in iterations) between checkpoints.
:param optimizer: LDAOptimizer used to perform the actual calculation
(default = EMLDAOptimizer). Currently "em", "online" are supported. Default to "em".
:param optimizer: LDAOptimizer used to perform the actual calculation.
Currently "em", "online" are supported. Default to "em".
"""
model = callMLlibFunc("trainLDAModel", rdd, k, maxIterations,
docConcentration, topicConcentration, seed,
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