org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader Java Examples

The following examples show how to use org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader. 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: HyperParameterTuningArbiterUiExample.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public RecordReader dataPreprocess() throws IOException, InterruptedException {
    //Schema Definitions
    Schema schema = new Schema.Builder()
            .addColumnsString("RowNumber")
            .addColumnInteger("CustomerId")
            .addColumnString("Surname")
            .addColumnInteger("CreditScore")
            .addColumnCategorical("Geography", Arrays.asList("France","Spain","Germany"))
            .addColumnCategorical("Gender",Arrays.asList("Male","Female"))
            .addColumnsInteger("Age","Tenure","Balance","NumOfProducts","HasCrCard","IsActiveMember","EstimatedSalary","Exited").build();

    //Schema Transformation
    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","Surname","CustomerId")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();

    //CSVReader - Reading from file and applying transformation
    RecordReader reader = new CSVRecordReader(1,',');
    reader.initialize(new FileSplit(new ClassPathResource("Churn_Modelling.csv").getFile()));
    RecordReader transformProcessRecordReader = new TransformProcessRecordReader(reader,transformProcess);
    return transformProcessRecordReader;
}
Example #2
Source File: HyperParameterTuning.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public RecordReader dataPreprocess() throws IOException, InterruptedException {
    //Schema Definitions
    Schema schema = new Schema.Builder()
            .addColumnsString("RowNumber")
            .addColumnInteger("CustomerId")
            .addColumnString("Surname")
            .addColumnInteger("CreditScore")
            .addColumnCategorical("Geography",Arrays.asList("France","Spain","Germany"))
            .addColumnCategorical("Gender",Arrays.asList("Male","Female"))
            .addColumnsInteger("Age","Tenure","Balance","NumOfProducts","HasCrCard","IsActiveMember","EstimatedSalary","Exited").build();

    //Schema Transformation
    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","Surname","CustomerId")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();

    //CSVReader - Reading from file and applying transformation
    RecordReader reader = new CSVRecordReader(1,',');
    reader.initialize(new FileSplit(new ClassPathResource("Churn_Modelling.csv").getFile()));
    RecordReader transformProcessRecordReader = new TransformProcessRecordReader(reader,transformProcess);
    return transformProcessRecordReader;
}
Example #3
Source File: HyperParameterTuningArbiterUiExample.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public RecordReader dataPreprocess() throws IOException, InterruptedException {
    //Schema Definitions
    Schema schema = new Schema.Builder()
            .addColumnsString("RowNumber")
            .addColumnInteger("CustomerId")
            .addColumnString("Surname")
            .addColumnInteger("CreditScore")
            .addColumnCategorical("Geography", Arrays.asList("France","Spain","Germany"))
            .addColumnCategorical("Gender",Arrays.asList("Male","Female"))
            .addColumnsInteger("Age","Tenure","Balance","NumOfProducts","HasCrCard","IsActiveMember","EstimatedSalary","Exited").build();

    //Schema Transformation
    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","Surname","CustomerId")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();

    //CSVReader - Reading from file and applying transformation
    RecordReader reader = new CSVRecordReader(1,',');
    reader.initialize(new FileSplit(new ClassPathResource("Churn_Modelling.csv").getFile()));
    RecordReader transformProcessRecordReader = new TransformProcessRecordReader(reader,transformProcess);
    return transformProcessRecordReader;
}
Example #4
Source File: HyperParameterTuning.java    From Java-Deep-Learning-Cookbook with MIT License 6 votes vote down vote up 
public RecordReader dataPreprocess() throws IOException, InterruptedException {
    //Schema Definitions
    Schema schema = new Schema.Builder()
            .addColumnsString("RowNumber")
            .addColumnInteger("CustomerId")
            .addColumnString("Surname")
            .addColumnInteger("CreditScore")
            .addColumnCategorical("Geography",Arrays.asList("France","Spain","Germany"))
            .addColumnCategorical("Gender",Arrays.asList("Male","Female"))
            .addColumnsInteger("Age","Tenure","Balance","NumOfProducts","HasCrCard","IsActiveMember","EstimatedSalary","Exited").build();

    //Schema Transformation
    TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","Surname","CustomerId")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();

    //CSVReader - Reading from file and applying transformation
    RecordReader reader = new CSVRecordReader(1,',');
    reader.initialize(new FileSplit(new ClassPathResource("Churn_Modelling.csv").getFile()));
    RecordReader transformProcessRecordReader = new TransformProcessRecordReader(reader,transformProcess);
    return transformProcessRecordReader;
}
Example #5
Source File: DataSetIteratorHelper.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","CustomerId","Surname")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #6
Source File: CustomerRetentionPredictionExample.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
                                                                .removeColumns("RowNumber","CustomerId","Surname")
                                                                .categoricalToInteger("Gender")
                                                                .categoricalToOneHot("Geography")
                                                                .removeColumns("Geography[France]")
                                                                .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #7
Source File: CustomerRetentionPredictionApi.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","CustomerId","Surname")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #8
Source File: DataSetIteratorHelper.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","CustomerId","Surname")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #9
Source File: CustomerRetentionPredictionExample.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
                                                                .removeColumns("RowNumber","CustomerId","Surname")
                                                                .categoricalToInteger("Gender")
                                                                .categoricalToOneHot("Geography")
                                                                .removeColumns("Geography[France]")
                                                                .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #10
Source File: CustomerRetentionPredictionApi.java    From Java-Deep-Learning-Cookbook with MIT License 5 votes vote down vote up 
private static RecordReader applyTransform(RecordReader recordReader, Schema schema){
    final TransformProcess transformProcess = new TransformProcess.Builder(schema)
            .removeColumns("RowNumber","CustomerId","Surname")
            .categoricalToInteger("Gender")
            .categoricalToOneHot("Geography")
            .removeColumns("Geography[France]")
            .build();
    final TransformProcessRecordReader transformProcessRecordReader = new TransformProcessRecordReader(recordReader,transformProcess);
    return  transformProcessRecordReader;

}
Example #11
Source File: TestSerialization.java    From DataVec with Apache License 2.0 5 votes vote down vote up 
@Test
public void testRR() throws Exception {

    List<RecordReader> rrs = new ArrayList<>();

    rrs.add(new CSVNLinesSequenceRecordReader(10));
    rrs.add(new CSVRecordReader(10, ','));
    rrs.add(new CSVSequenceRecordReader(1, ","));
    rrs.add(new CSVVariableSlidingWindowRecordReader(5));
    rrs.add(new CSVRegexRecordReader(0, ",", null, new String[] {null, "(.+) (.+) (.+)"}));
    rrs.add(new JacksonRecordReader(new FieldSelection.Builder().addField("a").addField(new Text("MISSING_B"), "b")
            .addField(new Text("MISSING_CX"), "c", "x").build(), new ObjectMapper(new JsonFactory())));
    rrs.add(new JacksonLineRecordReader(new FieldSelection.Builder().addField("value1")
    		.addField("value2").build(), new ObjectMapper(new JsonFactory())));
    rrs.add(new LibSvmRecordReader());
    rrs.add(new SVMLightRecordReader());
    rrs.add(new RegexLineRecordReader("(.+) (.+) (.+)", 0));
    rrs.add(new RegexSequenceRecordReader("(.+) (.+) (.+)", 0));
    rrs.add(new TransformProcessRecordReader(new CSVRecordReader(), getTp()));
    rrs.add(new TransformProcessSequenceRecordReader(new CSVSequenceRecordReader(), getTp()));
    rrs.add(new LineRecordReader());

    for(RecordReader r : rrs){
        System.out.println(r.getClass().getName());
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        ObjectOutputStream os = new ObjectOutputStream(baos);
        os.writeObject(r);
        byte[] bytes = baos.toByteArray();

        ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(bytes));

        RecordReader r2 = (RecordReader) ois.readObject();
    }
}
Example #12
Source File: TestSerialization.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up 
@Test
public void testRR() throws Exception {

    List<RecordReader> rrs = new ArrayList<>();

    rrs.add(new CSVNLinesSequenceRecordReader(10));
    rrs.add(new CSVRecordReader(10, ','));
    rrs.add(new CSVSequenceRecordReader(1, ","));
    rrs.add(new CSVVariableSlidingWindowRecordReader(5));
    rrs.add(new CSVRegexRecordReader(0, ",", null, new String[] {null, "(.+) (.+) (.+)"}));
    rrs.add(new JacksonRecordReader(new FieldSelection.Builder().addField("a").addField(new Text("MISSING_B"), "b")
            .addField(new Text("MISSING_CX"), "c", "x").build(), new ObjectMapper(new JsonFactory())));
    rrs.add(new JacksonLineRecordReader(new FieldSelection.Builder().addField("value1")
    		.addField("value2").build(), new ObjectMapper(new JsonFactory())));
    rrs.add(new LibSvmRecordReader());
    rrs.add(new SVMLightRecordReader());
    rrs.add(new RegexLineRecordReader("(.+) (.+) (.+)", 0));
    rrs.add(new RegexSequenceRecordReader("(.+) (.+) (.+)", 0));
    rrs.add(new TransformProcessRecordReader(new CSVRecordReader(), getTp()));
    rrs.add(new TransformProcessSequenceRecordReader(new CSVSequenceRecordReader(), getTp()));
    rrs.add(new LineRecordReader());

    for(RecordReader r : rrs){
        System.out.println(r.getClass().getName());
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        ObjectOutputStream os = new ObjectOutputStream(baos);
        os.writeObject(r);
        byte[] bytes = baos.toByteArray();

        ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(bytes));

        RecordReader r2 = (RecordReader) ois.readObject();
    }
}