content: /*
   * 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.feature;
  
  import java.util.Arrays;
  import java.util.List;
  
  import com.google.common.base.Strings;
  
  import scala.Tuple2;
  
  import org.junit.Assert;
  import org.junit.Test;
  
  import org.apache.spark.SharedSparkSession;
  import org.apache.spark.api.java.JavaRDD;
  
  public class JavaWord2VecSuite extends SharedSparkSession {
  
    @Test
    @SuppressWarnings("unchecked")
    public void word2Vec() {
      // The tests are to check Java compatibility.
      String sentence = Strings.repeat("a b ", 100) + Strings.repeat("a c ", 10);
      List<String> words = Arrays.asList(sentence.split(" "));
      List<List<String>> localDoc = Arrays.asList(words, words);
      JavaRDD<List<String>> doc = jsc.parallelize(localDoc);
      Word2Vec word2vec = new Word2Vec()
        .setVectorSize(10)
        .setSeed(42L);
      Word2VecModel model = word2vec.fit(doc);
      Tuple2<String, Object>[] syms = model.findSynonyms("a", 2);
      Assert.assertEquals(2, syms.length);
      Assert.assertEquals("b", syms[0]._1());
      Assert.assertEquals("c", syms[1]._1());
    }
  }
  