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

Example 31 with Script

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

the class MLContextTest method testDataFrameSumDMLVectorWithIDColumnNoFormatSpecified.

@Test
public void testDataFrameSumDMLVectorWithIDColumnNoFormatSpecified() {
    System.out.println("MLContextTest - DataFrame sum DML, vector with ID column, no format specified");
    List<Tuple2<Double, Vector>> list = new ArrayList<Tuple2<Double, Vector>>();
    list.add(new Tuple2<Double, Vector>(1.0, Vectors.dense(1.0, 2.0, 3.0)));
    list.add(new Tuple2<Double, Vector>(2.0, Vectors.dense(4.0, 5.0, 6.0)));
    list.add(new Tuple2<Double, Vector>(3.0, Vectors.dense(7.0, 8.0, 9.0)));
    JavaRDD<Tuple2<Double, Vector>> javaRddTuple = sc.parallelize(list);
    JavaRDD<Row> javaRddRow = javaRddTuple.map(new DoubleVectorRow());
    List<StructField> fields = new ArrayList<StructField>();
    fields.add(DataTypes.createStructField(RDDConverterUtils.DF_ID_COLUMN, DataTypes.DoubleType, true));
    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 32 with Script

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

the class MLContextTest method testInputVariablesAddLongsPYDML.

@Test
public void testInputVariablesAddLongsPYDML() {
    System.out.println("MLContextTest - input variables add longs PYDML");
    String s = "print('x + y = ' + (x + y))";
    Script script = pydml(s).in("x", 3L).in("y", 4L);
    setExpectedStdOut("x + y = 7");
    ml.execute(script);
}

Example 33 with Script

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

the class MLContextTest method testDataFrameSumDMLMllibVectorWithIDColumn.

@Test
public void testDataFrameSumDMLMllibVectorWithIDColumn() {
    System.out.println("MLContextTest - DataFrame sum DML, mllib vector with ID column");
    List<Tuple2<Double, org.apache.spark.mllib.linalg.Vector>> list = new ArrayList<Tuple2<Double, org.apache.spark.mllib.linalg.Vector>>();
    list.add(new Tuple2<Double, org.apache.spark.mllib.linalg.Vector>(1.0, org.apache.spark.mllib.linalg.Vectors.dense(1.0, 2.0, 3.0)));
    list.add(new Tuple2<Double, org.apache.spark.mllib.linalg.Vector>(2.0, org.apache.spark.mllib.linalg.Vectors.dense(4.0, 5.0, 6.0)));
    list.add(new Tuple2<Double, org.apache.spark.mllib.linalg.Vector>(3.0, org.apache.spark.mllib.linalg.Vectors.dense(7.0, 8.0, 9.0)));
    JavaRDD<Tuple2<Double, org.apache.spark.mllib.linalg.Vector>> javaRddTuple = sc.parallelize(list);
    JavaRDD<Row> javaRddRow = javaRddTuple.map(new DoubleMllibVectorRow());
    List<StructField> fields = new ArrayList<StructField>();
    fields.add(DataTypes.createStructField(RDDConverterUtils.DF_ID_COLUMN, DataTypes.DoubleType, true));
    fields.add(DataTypes.createStructField("C1", new org.apache.spark.mllib.linalg.VectorUDT(), true));
    StructType schema = DataTypes.createStructType(fields);
    Dataset<Row> dataFrame = spark.createDataFrame(javaRddRow, schema);
    MatrixMetadata mm = new MatrixMetadata(MatrixFormat.DF_VECTOR_WITH_INDEX);
    Script script = dml("print('sum: ' + sum(M));").in("M", dataFrame, mm);
    setExpectedStdOut("sum: 45.0");
    ml.execute(script);
}

Example 34 with Script

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

the class MLContextTest method testInputScalaMapPYDML.

@Test
public void testInputScalaMapPYDML() {
    System.out.println("MLContextTest - input Scala map PYDML");
    List<String> list = new ArrayList<String>();
    list.add("10,20");
    list.add("30,40");
    final JavaRDD<String> javaRDD = sc.parallelize(list);
    Map<String, Object> inputs = new HashMap<String, Object>() {

        private static final long serialVersionUID = 1L;

        {
            put("$X", 2);
            put("M", javaRDD);
        }
    };
    scala.collection.mutable.Map<String, Object> scalaMap = JavaConversions.mapAsScalaMap(inputs);
    String s = "M = M + $X\nprint('sum: ' + sum(M))";
    Script script = pydml(s).in(scalaMap);
    setExpectedStdOut("sum: 108.0");
    ml.execute(script);
}

Example 35 with Script

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

the class MLContextTest method testDisplayDoubleAddPYDML.

@Test
public void testDisplayDoubleAddPYDML() {
    System.out.println("MLContextTest - display double add PYDML");
    String s = "print(i+j)";
    Script script = pydml(s).in("i", 5.1).in("j", 6.2);
    setExpectedStdOut("11.3");
    ml.execute(script);
}