Github user thunterdb commented on a diff in the pull request:
https://github.com/apache/spark/pull/10610#discussion_r49028171
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -774,17 +843,32 @@ def train(cls, rdd, k=10, maxIterations=20,
docConcentration=-1.0,
topicConcentration=-1.0, seed=None, checkpointInterval=10,
optimizer="em"):
"""Train a LDA model.
- :param rdd: RDD of data points
- :param k: Number of clusters you want
- :param maxIterations: Number of iterations. Default to 20
- :param docConcentration: Concentration parameter (commonly
named "alpha")
- for the prior placed on documents' distributions over topics
("theta").
- :param topicConcentration: Concentration parameter (commonly
named "beta" or "eta")
- 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.
- Currently "em", "online" are supported. Default to "em".
+ :param rdd:
+ Train with a RDD of data points.
+ :param k:
+ Number of topics to infer. I.e., the number of soft cluster
centers.
--- End diff --
nit. According to Strunk and White, you cannot start a sentence with I.e.:
`to infer, i.e., the...`
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