
org.apache.flink.ml.feature.standardscaler.StandardScalerModelData Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.ml.feature.standardscaler;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.Encoder;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.common.typeutils.base.LongSerializer;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.connector.file.src.reader.SimpleStreamFormat;
import org.apache.flink.core.fs.FSDataInputStream;
import org.apache.flink.core.memory.DataInputViewStreamWrapper;
import org.apache.flink.core.memory.DataOutputViewStreamWrapper;
import org.apache.flink.ml.linalg.DenseVector;
import org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.internal.TableImpl;
import org.apache.flink.types.Row;
import java.io.EOFException;
import java.io.IOException;
import java.io.OutputStream;
/**
* Model data of {@link StandardScalerModel}.
*
* This class also provides methods to convert model data from Table to Datastream, and classes
* to save/load model data.
*/
public class StandardScalerModelData {
/** Mean of each dimension. */
public DenseVector mean;
/** Standard deviation of each dimension. */
public DenseVector std;
/** Model version. */
public long version;
/** Model timestamp. */
public long timestamp;
public StandardScalerModelData() {}
public StandardScalerModelData(DenseVector mean, DenseVector std) {
this(mean, std, 0, Long.MAX_VALUE);
}
public StandardScalerModelData(
DenseVector mean, DenseVector std, long version, long timestamp) {
this.mean = mean;
this.std = std;
this.version = version;
this.timestamp = timestamp;
}
/**
* Converts the table model to a data stream.
*
* @param modelData The table model data.
* @return The data stream model data.
*/
public static DataStream getModelDataStream(Table modelData) {
StreamTableEnvironment tEnv =
(StreamTableEnvironment) ((TableImpl) modelData).getTableEnvironment();
return tEnv.toDataStream(modelData)
.map(
(MapFunction)
row ->
new StandardScalerModelData(
row.getFieldAs("mean"),
row.getFieldAs("std"),
row.getFieldAs("version"),
row.getFieldAs("timestamp")))
.setParallelism(1);
}
/** Data encoder for the {@link StandardScalerModel} model data. */
public static class ModelDataEncoder implements Encoder {
private final DenseVectorSerializer serializer = new DenseVectorSerializer();
@Override
public void encode(StandardScalerModelData modelData, OutputStream outputStream)
throws IOException {
DataOutputViewStreamWrapper outputViewStreamWrapper =
new DataOutputViewStreamWrapper(outputStream);
serializer.serialize(modelData.mean, outputViewStreamWrapper);
serializer.serialize(modelData.std, outputViewStreamWrapper);
LongSerializer.INSTANCE.serialize(modelData.version, outputViewStreamWrapper);
LongSerializer.INSTANCE.serialize(modelData.timestamp, outputViewStreamWrapper);
}
}
/** Data decoder for the {@link StandardScalerModel} model data. */
public static class ModelDataDecoder extends SimpleStreamFormat {
@Override
public Reader createReader(
Configuration configuration, FSDataInputStream inputStream) {
return new Reader() {
private final DenseVectorSerializer serializer = new DenseVectorSerializer();
@Override
public StandardScalerModelData read() throws IOException {
DataInputViewStreamWrapper inputViewStreamWrapper =
new DataInputViewStreamWrapper(inputStream);
try {
DenseVector mean = serializer.deserialize(inputViewStreamWrapper);
DenseVector std = serializer.deserialize(inputViewStreamWrapper);
long version = LongSerializer.INSTANCE.deserialize(inputViewStreamWrapper);
long timestamp =
LongSerializer.INSTANCE.deserialize(inputViewStreamWrapper);
return new StandardScalerModelData(mean, std, version, timestamp);
} catch (EOFException e) {
return null;
}
}
@Override
public void close() throws IOException {
inputStream.close();
}
};
}
@Override
public TypeInformation getProducedType() {
return TypeInformation.of(StandardScalerModelData.class);
}
}
}