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Update Word2Vec.scala #18359

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cb12ad4
Update Word2Vec.scala
dgai91 Jun 20, 2017
3fc03d0
Update Word2Vec.scala
dgai91 Jun 20, 2017
d204612
Update Word2Vec.scala
dgai91 Jun 20, 2017
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29 changes: 27 additions & 2 deletions mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ import org.apache.hadoop.fs.Path
import org.apache.spark.SparkContext
import org.apache.spark.annotation.Since
import org.apache.spark.ml.{Estimator, Model}
import org.apache.spark.ml.linalg.{BLAS, Vector, Vectors, VectorUDT}
import org.apache.spark.ml.linalg.{BLAS, Vector, Vectors, VectorUDT, DenseVector => SDV}
import org.apache.spark.ml.param._
import org.apache.spark.ml.param.shared._
import org.apache.spark.ml.util._
Expand All @@ -32,7 +32,7 @@ import org.apache.spark.sql.{DataFrame, Dataset, SparkSession}
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.util.{Utils, VersionUtils}

import breeze.linalg.{DenseVector => BDV}
/**
* Params for [[Word2Vec]] and [[Word2VecModel]].
*/
Expand Down Expand Up @@ -273,6 +273,31 @@ class Word2VecModel private[ml] (
def findSynonymsArray(word: String, num: Int): Array[(String, Double)] = {
wordVectors.findSynonyms(word, num)
}

/**
* using model.getVectors can get the wordVectors then you must convert the DataFrame
* to an Array.
*/
def doc2Vector(textArray: Array[String], d: Int, wordVectors: Array[Row]): SDV = {
var sum = Vectors.zeros(d)
textArray.foreach { word =>
wordVectors.value.filter(_.getAs[String]("word") == word).foreach { v =>
val sv = v.getAs[SDV]("vector")
BLAS.axpy(1.0, sv, sum)
}
}
BLAS.scal(1.0 / textArray.size, sum)
sum.toDense
}

def cosineSimilarity(v1: SDV, v2: SDV): Double = {
val bdv1 = new BDV[Double](v1.values)
val bdv2 = new BDV[Double](v2.values)
val modeV1 = sqrt(bdv1 dot bdv1)
val modeV2 = sqrt(bdv2 dot bdv2)
val v1DOTv2 = bdv1 dot bdv2
v1DOTv2 / (modeV1 * modeV2)
}

/** @group setParam */
@Since("1.4.0")
Expand Down