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From feynmanliang <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-8455][ML] Implement n-gram feature tran...
Date Fri, 19 Jun 2015 02:50:54 GMT
Github user feynmanliang commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6887#discussion_r32798061
  
    --- Diff: mllib/src/test/scala/org/apache/spark/ml/feature/NGramSuite.scala ---
    @@ -0,0 +1,68 @@
    +/*
    + * 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.beans.BeanInfo
    +
    +import org.apache.spark.SparkFunSuite
    +import org.apache.spark.mllib.util.MLlibTestSparkContext
    +import org.apache.spark.sql.{DataFrame, Row}
    +
    +@BeanInfo
    +case class NGramTestData(inputTokens: Array[String], wantedNGrams: Array[String])
    +
    +class NGramSuite extends SparkFunSuite with MLlibTestSparkContext {
    +  import org.apache.spark.ml.feature.NGramSuite._
    +
    +  test("default behavior yields bigram features") {
    +    val tokenizer = new NGram()
    +      .setInputCol("inputTokens")
    +      .setOutputCol("NGrams")
    +    val dataset = sqlContext.createDataFrame(Seq(
    +      NGramTestData(
    +        Array("Test", "for", "ngram", "."),
    +        Array("Test for", "for ngram", "ngram .")
    +    )))
    +    testNGram(tokenizer, dataset)
    +  }
    +
    +  test("NGramLength=4 yields length 4 n-grams") {
    +    val tokenizer = new NGram()
    --- End diff --
    
    OK.


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