Github user akopich commented on a diff in the pull request:
https://github.com/apache/spark/pull/1269#discussion_r18333306
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/topicmodeling/topicmodels/RobustPLSA.scala
---
@@ -0,0 +1,180 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.clustering.topicmodeling.topicmodels
+
+
+import java.util.Random
+
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.mllib.clustering.topicmodeling.documents.Document
+import
org.apache.spark.mllib.clustering.topicmodeling.topicmodels.regulaizers.{DocumentOverTopicDistributionRegularizer,
TopicsRegularizer, UniformDocumentOverTopicRegularizer,
UniformTopicRegularizer}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.{Logging, SparkContext}
+
+
+/**
+ * distributed topic modeling via RobustPLSA (Hofmann (1999), Vorontsov,
Potapenko (2014) )
+ *
+ * @param sc spark context
+ * @param numberOfTopics number of topics
+ * @param numberOfIterations number of iterations
+ * @param random java.util.Random need for initialisation
+ * @param documentOverTopicDistributionRegularizer
+ * @param topicRegularizer
+ * @param computePpx boolean. If true, model computes perplexity and
prints it puts in the log at
+ * INFO level. it takes some time and memory
+ * @param gamma weight of background
+ * @param eps weight of noise
+ */
+class RobustPLSA(@transient protected val sc: SparkContext,
+ protected val numberOfTopics: Int,
+ protected val numberOfIterations: Int,
+ protected val random: Random,
+ private val documentOverTopicDistributionRegularizer:
+ DocumentOverTopicDistributionRegularizer =
+ new UniformDocumentOverTopicRegularizer,
+ @transient protected val topicRegularizer:
TopicsRegularizer =
+ new
UniformTopicRegularizer,
+ private val computePpx: Boolean = true,
+ private val gamma: Float = 0.3f,
+ private val eps: Float = 0.01f)
+ extends AbstractPLSA[RobustDocumentParameters, RobustGlobalParameters,
RobustGlobalCounters]
+ with Logging
+ with Serializable {
+
+
+ /**
+ *
+ * @param documents -- document collection
+ * @return a pair of rdd of document parameters global parameters
+ */
+ override def infer(documents: RDD[Document])
+ : (RDD[RobustDocumentParameters], RobustGlobalParameters) = {
+ val alphabetSize = getAlphabetSize(documents)
+ EM(documents, getInitialTopics(alphabetSize), alphabetSize, foldingIn
= false)
+ }
+
+
+ /**
+ *
+ * @param documents docs to be folded in
+ * @param globalParams global parameters that were produced by infer
method (stores topics)
+ * @return
+ */
+ override def foldIn(documents: RDD[Document],
+ globalParams: RobustGlobalParameters):
RDD[RobustDocumentParameters] = {
+ EM(documents, sc.broadcast(globalParams.phi),
globalParams.alphabetSize, foldingIn = true)._1
+ }
+
+ private def EM(documents: RDD[Document],
+ topicBC: Broadcast[Array[Array[Float]]],
+ alphabetSize : Int,
+ foldingIn : Boolean) :(RDD[RobustDocumentParameters],
RobustGlobalParameters) = {
+ val collectionLength = getCollectionLength(documents)
+
+ val parameters = documents.map(doc => RobustDocumentParameters(doc,
+ numberOfTopics,
+ gamma,
+ eps,
+
documentOverTopicDistributionRegularizer))
+
+ val background = Array.fill(alphabetSize)(1f / alphabetSize)
+
+ val (result, topics, backgound) = newIteration(parameters,
--- End diff --
Thank you very much for reading the code. You are right.
Fixed.
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