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

Example 26 with Script

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

the class MLContextTest method testCreateDMLScriptBasedOnStringAndExecute.

@Test
public void testCreateDMLScriptBasedOnStringAndExecute() {
    System.out.println("MLContextTest - create DML script based on string and execute");
    String testString = "Create DML script based on string and execute";
    setExpectedStdOut(testString);
    Script script = dml("print('" + testString + "');");
    ml.execute(script);
}

Example 27 with Script

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

the class MLContextTest method testInputMatrixBlockDML.

@Test
public void testInputMatrixBlockDML() {
    System.out.println("MLContextTest - input MatrixBlock 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 CommaSeparatedValueStringToRow());
    List<StructField> fields = new ArrayList<StructField>();
    fields.add(DataTypes.createStructField("C1", DataTypes.StringType, true));
    fields.add(DataTypes.createStructField("C2", DataTypes.StringType, true));
    fields.add(DataTypes.createStructField("C3", DataTypes.StringType, true));
    StructType schema = DataTypes.createStructType(fields);
    Dataset<Row> dataFrame = spark.createDataFrame(javaRddRow, schema);
    Matrix m = new Matrix(dataFrame);
    MatrixBlock matrixBlock = m.toMatrixBlock();
    Script script = dml("avg = avg(M);").in("M", matrixBlock).out("avg");
    double avg = ml.execute(script).getDouble("avg");
    Assert.assertEquals(50.0, avg, 0.0);
}

Example 28 with Script

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

the class MLContextTest method testOneScriptTwoExecutionsDML.

@Test
public void testOneScriptTwoExecutionsDML() {
    System.out.println("MLContextTest - one script with two executions DML");
    Script script = new Script(org.apache.sysml.api.mlcontext.ScriptType.DML);
    double[][] m1 = new double[][] { { 1.0, 2.0 }, { 3.0, 4.0 } };
    script.setScriptString("sum1 = sum(m1);").in("m1", m1).out("sum1");
    ml.execute(script);
    Assert.assertEquals(10.0, script.results().getDouble("sum1"), 0.0);
    script.clearAll();
    double[][] m2 = new double[][] { { 5.0, 6.0 }, { 7.0, 8.0 } };
    script.setScriptString("sum2 = sum(m2);").in("m2", m2).out("sum2");
    ml.execute(script);
    Assert.assertEquals(26.0, script.results().getDouble("sum2"), 0.0);
}

Example 29 with Script

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

the class MLContextTest method testDataFrameSumPYDMLVectorWithNoIDColumnNoFormatSpecified.

@Test
public void testDataFrameSumPYDMLVectorWithNoIDColumnNoFormatSpecified() {
    System.out.println("MLContextTest - DataFrame sum PYDML, vector with no ID column, no format specified");
    List<Vector> list = new ArrayList<Vector>();
    list.add(Vectors.dense(1.0, 2.0, 3.0));
    list.add(Vectors.dense(4.0, 5.0, 6.0));
    list.add(Vectors.dense(7.0, 8.0, 9.0));
    JavaRDD<Vector> javaRddVector = sc.parallelize(list);
    JavaRDD<Row> javaRddRow = javaRddVector.map(new VectorRow());
    List<StructField> fields = new ArrayList<StructField>();
    fields.add(DataTypes.createStructField("C1", new VectorUDT(), true));
    StructType schema = DataTypes.createStructType(fields);
    Dataset<Row> dataFrame = spark.createDataFrame(javaRddRow, schema);
    Script script = dml("print('sum: ' + sum(M))").in("M", dataFrame);
    setExpectedStdOut("sum: 45.0");
    ml.execute(script);
}

Example 30 with Script

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

the class MLContextTest method testPrintFormattingDoubleSubstitutions.

@Test
public void testPrintFormattingDoubleSubstitutions() {
    System.out.println("MLContextTest - print formatting double substitutions");
    Script script = dml("print('%f %f', 42.42, 43.43);");
    setExpectedStdOut("42.420000 43.430000");
    ml.execute(script);
}