Package org.apache.spark.mllib.clustering

Interface LDAOptimizer

All Known Implementing Classes:

EMLDAOptimizer, OnlineLDAOptimizer

public interface LDAOptimizer

An LDAOptimizer specifies which optimization/learning/inference algorithm to use, and it can hold optimizer-specific parameters for users to set.

Method Summary

Modifier and Type	Method	Description
LDAModel	getLDAModel(double[] iterationTimes)
LDAOptimizer	initialize(RDD<scala.Tuple2<Object,Vector>> docs, LDA lda)	Initializer for the optimizer.
LDAOptimizer	next()

Method Details

getLDAModel

LDAModel getLDAModel(double[] iterationTimes)

initialize

LDAOptimizer initialize(RDD<scala.Tuple2<Object,Vector>> docs,
 LDA lda)

Initializer for the optimizer. LDA passes the common parameters to the optimizer and the internal structure can be initialized properly.

Parameters:

docs - (undocumented)

lda - (undocumented)

Returns:

(undocumented)

next

LDAOptimizer next()