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

Example 46 with MLResults

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

the class MLContextTest method testMultipleOutDML.

@Test
public void testMultipleOutDML() {
    System.out.println("MLContextTest - multiple out DML");
    String s = "M = matrix('1 2 3 4', rows=2, cols=2); N = sum(M)";
    // alternative to .out("M").out("N")
    MLResults results = ml.execute(dml(s).out("M", "N"));
    double[][] matrix = results.getMatrixAs2DDoubleArray("M");
    double sum = results.getDouble("N");
    Assert.assertEquals(1.0, matrix[0][0], 0);
    Assert.assertEquals(2.0, matrix[0][1], 0);
    Assert.assertEquals(3.0, matrix[1][0], 0);
    Assert.assertEquals(4.0, matrix[1][1], 0);
    Assert.assertEquals(10.0, sum, 0);
}

Example 47 with MLResults

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

the class MLContextTest method testOutputListStringCSVDensePYDML.

@Test
public void testOutputListStringCSVDensePYDML() {
    System.out.println("MLContextTest - output List 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);
    MatrixObject mo = results.getMatrixObject("M");
    List<String> lines = MLContextConversionUtil.matrixObjectToListStringCSV(mo);
    Assert.assertEquals("1.0,2.0", lines.get(0));
    Assert.assertEquals("3.0,4.0", lines.get(1));
}

Example 48 with MLResults

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

the class MLContextTest method testOutputDataFramePYDMLDoublesWithIDColumn.

@Test
public void testOutputDataFramePYDMLDoublesWithIDColumn() {
    System.out.println("MLContextTest - output DataFrame PYDML, doubles with 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.getDataFrameDoubleWithIDColumn("M");
    List<Row> list = dataFrame.collectAsList();
    Row row1 = list.get(0);
    Assert.assertEquals(1.0, row1.getDouble(0), 0.0);
    Assert.assertEquals(1.0, row1.getDouble(1), 0.0);
    Assert.assertEquals(2.0, row1.getDouble(2), 0.0);
    Row row2 = list.get(1);
    Assert.assertEquals(2.0, row2.getDouble(0), 0.0);
    Assert.assertEquals(3.0, row2.getDouble(1), 0.0);
    Assert.assertEquals(4.0, row2.getDouble(2), 0.0);
}

Example 49 with MLResults

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

the class MLContextTest method testOutputJavaRDDStringCSVDenseDML.

@Test
public void testOutputJavaRDDStringCSVDenseDML() {
    System.out.println("MLContextTest - output Java RDD String CSV 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);
    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 50 with MLResults

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

the class MLContextTest method testOutputJavaRDDStringIJVPYDML.

@Test
public void testOutputJavaRDDStringIJVPYDML() {
    System.out.println("MLContextTest - output Java 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);
    JavaRDD<String> javaRDDStringIJV = results.getJavaRDDStringIJV("M");
    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));
}