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.evaluation;
  
  import java.io.IOException;
  import java.util.Arrays;
  import java.util.List;
  
  import scala.Tuple2;
  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 JavaRankingMetricsSuite extends SharedSparkSession {
    private transient JavaRDD<Tuple2<List<Integer>, List<Integer>>> predictionAndLabels;
  
    @Override
    public void setUp() throws IOException {
      super.setUp();
      predictionAndLabels = jsc.parallelize(Arrays.asList(
        Tuple2$.MODULE$.apply(
          Arrays.asList(1, 6, 2, 7, 8, 3, 9, 10, 4, 5), Arrays.asList(1, 2, 3, 4, 5)),
        Tuple2$.MODULE$.apply(
          Arrays.asList(4, 1, 5, 6, 2, 7, 3, 8, 9, 10), Arrays.asList(1, 2, 3)),
        Tuple2$.MODULE$.apply(
          Arrays.asList(1, 2, 3, 4, 5), Arrays.<Integer>asList())), 2);
    }
  
    @Test
    public void rankingMetrics() {
      @SuppressWarnings("unchecked")
      RankingMetrics<?> metrics = RankingMetrics.of(predictionAndLabels);
      Assert.assertEquals(0.355026, metrics.meanAveragePrecision(), 1e-5);
      Assert.assertEquals(0.75 / 3.0, metrics.precisionAt(4), 1e-5);
    }
  }
  