ml/feature/JavaVectorIndexerSuite.java

0001 /*
0002  * Licensed to the Apache Software Foundation (ASF) under one or more
0003  * contributor license agreements.  See the NOTICE file distributed with
0004  * this work for additional information regarding copyright ownership.
0005  * The ASF licenses this file to You under the Apache License, Version 2.0
0006  * (the "License"); you may not use this file except in compliance with
0007  * the License.  You may obtain a copy of the License at
0008  *
0009  *    http://www.apache.org/licenses/LICENSE-2.0
0010  *
0011  * Unless required by applicable law or agreed to in writing, software
0012  * distributed under the License is distributed on an "AS IS" BASIS,
0013  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014  * See the License for the specific language governing permissions and
0015  * limitations under the License.
0016  */
0017
0018 package org.apache.spark.ml.feature;
0019
0020 import java.util.Arrays;
0021 import java.util.List;
0022 import java.util.Map;
0023
0024 import org.junit.Assert;
0025 import org.junit.Test;
0026
0027 import org.apache.spark.SharedSparkSession;
0028 import org.apache.spark.ml.feature.VectorIndexerSuite.FeatureData;
0029 import org.apache.spark.ml.linalg.Vectors;
0030 import org.apache.spark.sql.Dataset;
0031 import org.apache.spark.sql.Row;
0032
0033
0034 public class JavaVectorIndexerSuite extends SharedSparkSession {
0035
0036   @Test
0037   public void vectorIndexerAPI() {
0038     // The tests are to check Java compatibility.
0039     List<FeatureData> points = Arrays.asList(
0040       new FeatureData(Vectors.dense(0.0, -2.0)),
0041       new FeatureData(Vectors.dense(1.0, 3.0)),
0042       new FeatureData(Vectors.dense(1.0, 4.0))
0043     );
0044     Dataset<Row> data = spark.createDataFrame(jsc.parallelize(points, 2), FeatureData.class);
0045     VectorIndexer indexer = new VectorIndexer()
0046       .setInputCol("features")
0047       .setOutputCol("indexed")
0048       .setMaxCategories(2);
0049     VectorIndexerModel model = indexer.fit(data);
0050     Assert.assertEquals(2, model.numFeatures());
0051     Map<Integer, Map<Double, Integer>> categoryMaps = model.javaCategoryMaps();
0052     Assert.assertEquals(1, categoryMaps.size());
0053     Dataset<Row> indexedData = model.transform(data);
0054   }
0055 }