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.linalg.distributed;
  
  import java.util.Arrays;
  
  import org.junit.Test;
  
  import org.apache.spark.SharedSparkSession;
  import org.apache.spark.api.java.JavaRDD;
  import org.apache.spark.mllib.linalg.Matrix;
  import org.apache.spark.mllib.linalg.QRDecomposition;
  import org.apache.spark.mllib.linalg.Vector;
  import org.apache.spark.mllib.linalg.Vectors;
  
  public class JavaRowMatrixSuite extends SharedSparkSession {
  
    @Test
    public void rowMatrixQRDecomposition() {
      Vector v1 = Vectors.dense(1.0, 10.0, 100.0);
      Vector v2 = Vectors.dense(2.0, 20.0, 200.0);
      Vector v3 = Vectors.dense(3.0, 30.0, 300.0);
  
      JavaRDD<Vector> rows = jsc.parallelize(Arrays.asList(v1, v2, v3), 1);
      RowMatrix mat = new RowMatrix(rows.rdd());
  
      QRDecomposition<RowMatrix, Matrix> result = mat.tallSkinnyQR(true);
    }
  }
  