org.nd4j.linalg.dataset.api.preprocessor.serializer.StandardizeSerializerStrategy Maven / Gradle / Ivy
package org.nd4j.linalg.dataset.api.preprocessor.serializer;
import lombok.NonNull;
import org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize;
import org.nd4j.linalg.factory.Nd4j;
import java.io.*;
/**
* Strategy for saving and restoring {@link NormalizerStandardize} instances in single binary files
*
* @author Ede Meijer
*/
public class StandardizeSerializerStrategy implements NormalizerSerializerStrategy {
@Override
public void write(@NonNull NormalizerStandardize normalizer, @NonNull OutputStream stream) throws IOException {
try (DataOutputStream dos = new DataOutputStream(stream)) {
dos.writeBoolean(normalizer.isFitLabel());
Nd4j.write(normalizer.getMean(), dos);
Nd4j.write(normalizer.getStd(), dos);
if (normalizer.isFitLabel()) {
Nd4j.write(normalizer.getLabelMean(), dos);
Nd4j.write(normalizer.getLabelStd(), dos);
}
dos.flush();
}
}
@Override
public NormalizerStandardize restore(@NonNull InputStream stream) throws IOException {
DataInputStream dis = new DataInputStream(stream);
boolean fitLabels = dis.readBoolean();
NormalizerStandardize result = new NormalizerStandardize(Nd4j.read(dis), Nd4j.read(dis));
result.fitLabel(fitLabels);
if (fitLabels) {
result.setLabelStats(Nd4j.read(dis), Nd4j.read(dis));
}
return result;
}
@Override
public NormalizerType getSupportedType() {
return NormalizerType.STANDARDIZE;
}
}