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

Example 76 with Script

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

the class MLContextTest method testAddScalarIntegerInputsPYDML.

@Test
public void testAddScalarIntegerInputsPYDML() {
    System.out.println("MLContextTest - add scalar integer inputs PYDML");
    String s = "total = in1 + in2\nprint('total: ' + total)";
    Script script = pydml(s).in("in1", 1).in("in2", 2);
    setExpectedStdOut("total: 3");
    ml.execute(script);
}

Example 77 with Script

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

the class MLContextTest method testOutputDataFrameDMLDoublesWithIDColumn.

@Test
public void testOutputDataFrameDMLDoublesWithIDColumn() {
    System.out.println("MLContextTest - output DataFrame DML, doubles with 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.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 78 with Script

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

the class MLContextTest method testIJVMatrixFromURLSumDML.

@Test
public void testIJVMatrixFromURLSumDML() throws MalformedURLException {
    System.out.println("MLContextTest - IJV matrix from URL sum DML");
    String ijv = "https://raw.githubusercontent.com/apache/systemml/master/src/test/scripts/org/apache/sysml/api/mlcontext/1234.ijv";
    URL url = new URL(ijv);
    MatrixMetadata mm = new MatrixMetadata(MatrixFormat.IJV, 2, 2);
    Script script = dml("print('sum: ' + sum(M));").in("M", url, mm);
    setExpectedStdOut("sum: 10.0");
    ml.execute(script);
}

Example 79 with Script

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

the class MLContextTest method testPrintFormattingParforLoop.

@Test
public void testPrintFormattingParforLoop() {
    System.out.println("MLContextTest - print formatting parfor loop");
    Script script = dml("parfor (i in 1:3) { print('int value %d', i); }");
    // check that one of the lines is returned
    setExpectedStdOut("int value 3");
    ml.execute(script);
}

Example 80 with Script

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

the class MLContextTest method testDataFrameGoodMetadataDML.

@Test
public void testDataFrameGoodMetadataDML() {
    System.out.println("MLContextTest - DataFrame good metadata DML");
    List<String> list = new ArrayList<String>();
    list.add("10,20,30");
    list.add("40,50,60");
    list.add("70,80,90");
    JavaRDD<String> javaRddString = sc.parallelize(list);
    JavaRDD<Row> javaRddRow = javaRddString.map(new CommaSeparatedValueStringToDoubleArrayRow());
    List<StructField> fields = new ArrayList<StructField>();
    fields.add(DataTypes.createStructField("C1", DataTypes.DoubleType, true));
    fields.add(DataTypes.createStructField("C2", DataTypes.DoubleType, true));
    fields.add(DataTypes.createStructField("C3", DataTypes.DoubleType, true));
    StructType schema = DataTypes.createStructType(fields);
    Dataset<Row> dataFrame = spark.createDataFrame(javaRddRow, schema);
    MatrixMetadata mm = new MatrixMetadata(3, 3, 9);
    Script script = dml("print('sum: ' + sum(M));").in("M", dataFrame, mm);
    setExpectedStdOut("sum: 450.0");
    ml.execute(script);
}