Examples with MLResults org.apache.sysml.api.mlcontext.MLResults used on opensource projects

Example 41 with MLResults

use of org.apache.sysml.api.mlcontext.MLResults in project incubator-systemml by apache.

the class MLContextTest method testOutputDataFrameDMLVectorNoIDColumn.

@Test
public void testOutputDataFrameDMLVectorNoIDColumn() {
    System.out.println("MLContextTest - output DataFrame DML, vector no ID column");
    String s = "M = matrix('1 2 3 4', rows=2, cols=2);";
    Script script = dml(s).out("M");
    MLResults results = ml.execute(script);
    Dataset<Row> dataFrame = results.getDataFrameVectorNoIDColumn("M");
    List<Row> list = dataFrame.collectAsList();
    Row row1 = list.get(0);
    Assert.assertArrayEquals(new double[] { 1.0, 2.0 }, ((Vector) row1.get(0)).toArray(), 0.0);
    Row row2 = list.get(1);
    Assert.assertArrayEquals(new double[] { 3.0, 4.0 }, ((Vector) row2.get(0)).toArray(), 0.0);
}

Example 42 with MLResults

use of org.apache.sysml.api.mlcontext.MLResults in project incubator-systemml by apache.

the class MLContextTest method testOutputBinaryBlocksDML.

@Test
public void testOutputBinaryBlocksDML() {
    System.out.println("MLContextTest - output binary blocks DML");
    String s = "M = matrix('1 2 3 4', rows=2, cols=2);";
    MLResults results = ml.execute(dml(s).out("M"));
    Matrix m = results.getMatrix("M");
    JavaPairRDD<MatrixIndexes, MatrixBlock> binaryBlocks = m.toBinaryBlocks();
    MatrixMetadata mm = m.getMatrixMetadata();
    MatrixCharacteristics mc = mm.asMatrixCharacteristics();
    JavaRDD<String> javaRDDStringIJV = RDDConverterUtils.binaryBlockToTextCell(binaryBlocks, mc);
    List<String> lines = javaRDDStringIJV.collect();
    Assert.assertEquals("1 1 1.0", lines.get(0));
    Assert.assertEquals("1 2 2.0", lines.get(1));
    Assert.assertEquals("2 1 3.0", lines.get(2));
    Assert.assertEquals("2 2 4.0", lines.get(3));
}

Example 43 with MLResults

use of org.apache.sysml.api.mlcontext.MLResults in project incubator-systemml by apache.

the class MLContextTest method testOutputJavaRDDStringCSVDensePYDML.

@Test
public void testOutputJavaRDDStringCSVDensePYDML() {
    System.out.println("MLContextTest - output Java RDD String CSV Dense PYDML");
    String s = "M = full('1 2 3 4', rows=2, cols=2)\nprint(toString(M))";
    Script script = pydml(s).out("M");
    MLResults results = ml.execute(script);
    JavaRDD<String> javaRDDStringCSV = results.getJavaRDDStringCSV("M");
    List<String> lines = javaRDDStringCSV.collect();
    Assert.assertEquals("1.0,2.0", lines.get(0));
    Assert.assertEquals("3.0,4.0", lines.get(1));
}

Example 44 with MLResults

use of org.apache.sysml.api.mlcontext.MLResults in project incubator-systemml by apache.

the class MLContextTest method testOutputScalaSeqDML.

@SuppressWarnings({ "unchecked", "rawtypes" })
@Test
public void testOutputScalaSeqDML() {
    System.out.println("MLContextTest - output specified as Scala Seq DML");
    List outputs = Arrays.asList("x", "y");
    Seq seq = JavaConversions.asScalaBuffer(outputs).toSeq();
    Script script = dml("a=1;x=a+1;y=x+1").out(seq);
    MLResults results = ml.execute(script);
    Assert.assertEquals(2, results.getLong("x"));
    Assert.assertEquals(3, results.getLong("y"));
}

Example 45 with MLResults

use of org.apache.sysml.api.mlcontext.MLResults in project incubator-systemml by apache.

the class MLContextTest method testOutputRDDStringCSVSparseDML.

@Test
public void testOutputRDDStringCSVSparseDML() {
    System.out.println("MLContextTest - output RDD String CSV Sparse DML");
    String s = "M = matrix(0, rows=10, cols=10); M[1,1]=1; M[1,2]=2; M[2,1]=3; M[2,2]=4; print(toString(M));";
    Script script = dml(s).out("M");
    MLResults results = ml.execute(script);
    RDD<String> rddStringCSV = results.getRDDStringCSV("M");
    Iterator<String> iterator = rddStringCSV.toLocalIterator();
    Assert.assertEquals("1.0,2.0", iterator.next());
    Assert.assertEquals("3.0,4.0", iterator.next());
}