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

Example 36 with MLResults

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

the class MLContextTest method testOutputDataFramePYDMLVectorNoIDColumn.

@Test
public void testOutputDataFramePYDMLVectorNoIDColumn() {
    System.out.println("MLContextTest - output DataFrame PYDML, vector no ID column");
    String s = "M = full('1 2 3 4', rows=2, cols=2)";
    Script script = pydml(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 37 with MLResults

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

the class MLContextTest method testOutputListStringIJVDenseDML.

@Test
public void testOutputListStringIJVDenseDML() {
    System.out.println("MLContextTest - output List String IJV Dense DML");
    String s = "M = matrix('1 2 3 4', rows=2, cols=2); print(toString(M));";
    Script script = dml(s).out("M");
    MLResults results = ml.execute(script);
    MatrixObject mo = results.getMatrixObject("M");
    List<String> lines = MLContextConversionUtil.matrixObjectToListStringIJV(mo);
    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 38 with MLResults

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

the class MLContextTest method testOutputRDDStringIJVPYDML.

@Test
public void testOutputRDDStringIJVPYDML() {
    System.out.println("MLContextTest - output RDD String IJV PYDML");
    String s = "M = full('1 2 3 4', rows=2, cols=2)";
    Script script = pydml(s).out("M");
    MLResults results = ml.execute(script);
    RDD<String> rddStringIJV = results.getRDDStringIJV("M");
    Iterator<String> iterator = rddStringIJV.toLocalIterator();
    Assert.assertEquals("1 1 1.0", iterator.next());
    Assert.assertEquals("1 2 2.0", iterator.next());
    Assert.assertEquals("2 1 3.0", iterator.next());
    Assert.assertEquals("2 2 4.0", iterator.next());
}

Example 39 with MLResults

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

the class MLContextTest method testOutputDataFrameDMLDoublesNoIDColumn.

@Test
public void testOutputDataFrameDMLDoublesNoIDColumn() {
    System.out.println("MLContextTest - output DataFrame DML, doubles 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.getDataFrameDoubleNoIDColumn("M");
    List<Row> list = dataFrame.collectAsList();
    Row row1 = list.get(0);
    Assert.assertEquals(1.0, row1.getDouble(0), 0.0);
    Assert.assertEquals(2.0, row1.getDouble(1), 0.0);
    Row row2 = list.get(1);
    Assert.assertEquals(3.0, row2.getDouble(0), 0.0);
    Assert.assertEquals(4.0, row2.getDouble(1), 0.0);
}

Example 40 with MLResults

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

the class MLContextTest method testOutputRDDStringCSVDensePYDML.

@Test
public void testOutputRDDStringCSVDensePYDML() {
    System.out.println("MLContextTest - output 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);
    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());
}