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

    https://github.com/apache/spark/pull/7084#discussion_r33902864
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/ml/feature/CountVectorizer.scala ---
    @@ -0,0 +1,79 @@
    +/*
    + * 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 scala.collection.mutable
    +
    +import org.apache.spark.annotation.Experimental
    +import org.apache.spark.ml.UnaryTransformer
    +import org.apache.spark.ml.param.{ParamMap, ParamValidators, IntParam}
    +import org.apache.spark.ml.util.Identifiable
    +import org.apache.spark.mllib.linalg.{Vectors, VectorUDT, Vector}
    +import org.apache.spark.sql.types.{StringType, ArrayType, DataType}
    +
    +/**
    + * :: Experimental ::
    + * Converts a text document to a sparse vector of token counts.
    + * @param vocabulary An Array over terms. Only the terms in the vocabulary 
will be counted.
    + */
    +@Experimental
    +class CountVectorizer (override val uid: String, vocabulary: Array[String])
    +  extends UnaryTransformer[Seq[String], Vector, CountVectorizer] {
    +
    +  def this(vocabulary: Array[String]) = 
this(Identifiable.randomUID("countVectorizer"), vocabulary)
    +
    +  /**
    +   * Corpus-specific stop words filter. Terms with count less than the 
given threshold are ignored.
    +   * Default: 1
    +   * @group param
    +   */
    +  val minTermCounts: IntParam = new IntParam(this, "minTermCounts",
    --- End diff --
    
    Thanks for the careful consideration.


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