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0018 package org.apache.spark.mllib.linalg.distributed;
0019
0020 import java.util.Arrays;
0021
0022 import org.junit.Test;
0023
0024 import org.apache.spark.SharedSparkSession;
0025 import org.apache.spark.api.java.JavaRDD;
0026 import org.apache.spark.mllib.linalg.Matrix;
0027 import org.apache.spark.mllib.linalg.QRDecomposition;
0028 import org.apache.spark.mllib.linalg.Vector;
0029 import org.apache.spark.mllib.linalg.Vectors;
0030
0031 public class JavaRowMatrixSuite extends SharedSparkSession {
0032
0033 @Test
0034 public void rowMatrixQRDecomposition() {
0035 Vector v1 = Vectors.dense(1.0, 10.0, 100.0);
0036 Vector v2 = Vectors.dense(2.0, 20.0, 200.0);
0037 Vector v3 = Vectors.dense(3.0, 30.0, 300.0);
0038
0039 JavaRDD<Vector> rows = jsc.parallelize(Arrays.asList(v1, v2, v3), 1);
0040 RowMatrix mat = new RowMatrix(rows.rdd());
0041
0042 QRDecomposition<RowMatrix, Matrix> result = mat.tallSkinnyQR(true);
0043 }
0044 }