Github user yinxusen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/5596#discussion_r29060128
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala 
---
    @@ -0,0 +1,190 @@
    +/*
    + * 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.ml.feature
    +
    +import org.apache.spark.annotation.AlphaComponent
    +import org.apache.spark.ml.param._
    +import org.apache.spark.ml.param.shared._
    +import org.apache.spark.ml.util.SchemaUtils
    +import org.apache.spark.ml.{Estimator, Model}
    +import org.apache.spark.mllib.feature
    +import org.apache.spark.mllib.linalg.{VectorUDT, Vectors}
    +import org.apache.spark.sql.functions._
    +import org.apache.spark.sql.types._
    +import org.apache.spark.sql.{DataFrame, Row}
    +
    +/**
    + * Params for [[Word2Vec]] and [[Word2VecModel]].
    + */
    +private[feature] trait Word2VecBase extends Params
    +  with HasInputCol with HasOutputCol with HasMaxIter with HasStepSize {
    +
    +  /**
    +   * The dimension of the code that you want to transform from words.
    +   */
    +  final val vectorSize = new IntParam(
    +    this, "vectorSize", "the dimension of codes after transforming from 
words")
    +
    +  setDefault(vectorSize -> 100)
    +
    +  /** @group getParam */
    +  def getVectorSize: Int = getOrDefault(vectorSize)
    +
    +  /**
    +   * Number of partitions for sentences of words.
    +   */
    +  final val numPartitions = new IntParam(
    +    this, "numPartitions", "number of partitions for sentences of words")
    +
    +  setDefault(numPartitions -> 1)
    +
    +  /** @group getParam */
    +  def getNumPartitions: Int = getOrDefault(numPartitions)
    +
    +  /**
    +   * A random seed to random an initial vector.
    +   */
    +  final val seed = new LongParam(this, "seed", "a random seed to random an 
initial vector")
    --- End diff --
    
    sure


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