Java Code Examples for org.datavec.api.transform.TransformProcess#toYaml()

The following examples show how to use org.datavec.api.transform.TransformProcess#toYaml() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: SerializationExample.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public static void main(String[] args) {
    Schema schema  =  new Schema.Builder()
            .addColumnsString("Name", "Subject")
            .addColumnInteger("Score")
            .addColumnCategorical("Grade", Arrays.asList("A","B","C","D"))
            .addColumnInteger("Passed").build();

    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("Name")
            .transform(new ConvertToDouble("Score"))
            .categoricalToInteger("Grade").build();

    String json = transformProcess.toJson();
    System.out.println(json);

    String yaml = transformProcess.toYaml();
    System.out.println(yaml);
}
Example 2
Source File: SerializationExample.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public static void main(String[] args) {
    Schema schema  =  new Schema.Builder()
            .addColumnsString("Name", "Subject")
            .addColumnInteger("Score")
            .addColumnCategorical("Grade", Arrays.asList("A","B","C","D"))
            .addColumnInteger("Passed").build();

    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("Name")
            .transform(new ConvertToDouble("Score"))
            .categoricalToInteger("Grade").build();

    String json = transformProcess.toJson();
    System.out.println(json);

    String yaml = transformProcess.toYaml();
    System.out.println(yaml);
}
Example 3
Source File: TestYamlJsonSerde.java    From DataVec with Apache License 2.0 6 votes vote down vote up 
@Test
public void testTransformProcessAndSchema() {

    Schema schema = new Schema.Builder().addColumnInteger("firstCol").addColumnNDArray("nd1a", new long[] {1, 10})
                    .addColumnNDArray("nd1b", new long[] {1, 10}).addColumnNDArray("nd2", new long[] {1, 100})
                    .addColumnNDArray("nd3", new long[] {-1, -1}).build();

    TransformProcess tp = new TransformProcess.Builder(schema).integerMathOp("firstCol", MathOp.Add, 1)
                    .ndArrayColumnsMathOpTransform("added", MathOp.Add, "nd1a", "nd1b")
                    .ndArrayMathFunctionTransform("nd2", MathFunction.SQRT)
                    .ndArrayScalarOpTransform("nd3", MathOp.Multiply, 2.0).build();

    String asJson = tp.toJson();
    String asYaml = tp.toYaml();

    TransformProcess fromJson = TransformProcess.fromJson(asJson);
    TransformProcess fromYaml = TransformProcess.fromYaml(asYaml);

    assertEquals(tp, fromJson);
    assertEquals(tp, fromYaml);
}
Example 4
Source File: TestCustomTransformJsonYaml.java    From DataVec with Apache License 2.0 6 votes vote down vote up 
@Test
public void testCustomTransform() {

    Schema schema = new Schema.Builder().addColumnInteger("firstCol").addColumnDouble("secondCol").build();

    TransformProcess tp = new TransformProcess.Builder(schema).integerMathOp("firstCol", MathOp.Add, 1)
                    .transform(new CustomTransform("secondCol", 3.14159))
                    .doubleMathOp("secondCol", MathOp.Multiply, 2.0).filter(new CustomFilter(123))
                    .filter(new CustomCondition("someArg")).build();

    String asJson = tp.toJson();
    String asYaml = tp.toYaml();

    TransformProcess fromJson = TransformProcess.fromJson(asJson);
    TransformProcess fromYaml = TransformProcess.fromYaml(asYaml);

    assertEquals(tp, fromJson);
    assertEquals(tp, fromYaml);
}
Example 5
Source File: TestYamlJsonSerde.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up 
@Test
public void testTransformProcessAndSchema() {

    Schema schema = new Schema.Builder().addColumnInteger("firstCol").addColumnNDArray("nd1a", new long[] {1, 10})
                    .addColumnNDArray("nd1b", new long[] {1, 10}).addColumnNDArray("nd2", new long[] {1, 100})
                    .addColumnNDArray("nd3", new long[] {-1, -1}).build();

    TransformProcess tp = new TransformProcess.Builder(schema).integerMathOp("firstCol", MathOp.Add, 1)
                    .ndArrayColumnsMathOpTransform("added", MathOp.Add, "nd1a", "nd1b")
                    .ndArrayMathFunctionTransform("nd2", MathFunction.SQRT)
                    .ndArrayScalarOpTransform("nd3", MathOp.Multiply, 2.0).build();

    String asJson = tp.toJson();
    String asYaml = tp.toYaml();

    TransformProcess fromJson = TransformProcess.fromJson(asJson);
    TransformProcess fromYaml = TransformProcess.fromYaml(asYaml);

    assertEquals(tp, fromJson);
    assertEquals(tp, fromYaml);
}
Example 6
Source File: TestCustomTransformJsonYaml.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up 
@Test
public void testCustomTransform() {

    Schema schema = new Schema.Builder().addColumnInteger("firstCol").addColumnDouble("secondCol").build();

    TransformProcess tp = new TransformProcess.Builder(schema).integerMathOp("firstCol", MathOp.Add, 1)
                    .transform(new CustomTransform("secondCol", 3.14159))
                    .doubleMathOp("secondCol", MathOp.Multiply, 2.0).filter(new CustomFilter(123))
                    .filter(new CustomCondition("someArg")).build();

    String asJson = tp.toJson();
    String asYaml = tp.toYaml();

    TransformProcess fromJson = TransformProcess.fromJson(asJson);
    TransformProcess fromYaml = TransformProcess.fromYaml(asYaml);

    assertEquals(tp, fromJson);
    assertEquals(tp, fromYaml);
}