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From SparkQA <>
Subject [GitHub] spark pull request: [SPARK-2199] [mllib] topic modeling
Date Tue, 15 Jul 2014 14:59:07 GMT
Github user SparkQA commented on the pull request:
    QA results for PR 1269:<br>- This patch PASSES unit tests.<br>- This patch
merges cleanly<br>- This patch adds the following public classes (experimental):<br>class
Document(val tokens: SparseVector[Int], val alphabetSize: Int) extends Serializable<br>class
DocumentParameters(val document: Document, val theta: Array[Float],<br>class GlobalCounters(val
wordsFromTopics: Array[Array[Float]], val alphabetSize: Int)<br>class GlobalParameters(val
phi : Array[Array[Float]], val alphabetSize : Int)<br>class PLSA(@transient protected
val sc: SparkContext,<br>class RobustDocumentParameters(document: Document,<br>class
RobustGlobalCounters(wordsFromTopic: Array[Array[Float]],<br>class RobustGlobalParameters(phi
: Array[Array[Float]],<br>class RobustPLSA(@transient protected val sc: SparkContext,<br>trait
SparseVectorFasterSum {<br>trait DocumentOverTopicDistributionRegularizer extends Serializable
with MatrixInPlaceModification {<br>trait MatrixInPlaceModification {<br>class
 letDocumentOverTopicDistributionRegularizer(protected val alpha: Float)<br>trait SymmetricDirichletHelper
{<br>class SymmetricDirichletTopicRegularizer(protected val alpha: Float) extends TopicsRegularizer<br>trait
TopicsRegularizer extends MatrixInPlaceModification {<br>class UniformDocumentOverTopicRegularizer
extends DocumentOverTopicDistributionRegularizer {<br>class UniformTopicRegularizer
extends TopicsRegularizer {<br>class TObjectIntHashMapSerializer extends Serializer[TObjectIntHashMap[Object]]
{<br><br>For more information see test ouptut:<br>

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