
org.apache.flink.ml.feature.dct.DCT Maven / Gradle / Ivy
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package org.apache.flink.ml.feature.dct;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
import org.apache.flink.ml.api.Transformer;
import org.apache.flink.ml.common.datastream.TableUtils;
import org.apache.flink.ml.linalg.DenseVector;
import org.apache.flink.ml.linalg.Vector;
import org.apache.flink.ml.linalg.Vectors;
import org.apache.flink.ml.linalg.typeinfo.DenseVectorTypeInfo;
import org.apache.flink.ml.param.Param;
import org.apache.flink.ml.util.ParamUtils;
import org.apache.flink.ml.util.ReadWriteUtils;
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 org.apache.flink.util.Preconditions;
import org.apache.commons.lang3.ArrayUtils;
import org.jtransforms.dct.DoubleDCT_1D;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.function.BiConsumer;
/**
* A Transformer that takes the 1D discrete cosine transform of a real vector. No zero padding is
* performed on the input vector. It returns a real vector of the same length representing the DCT.
* The return vector is scaled such that the transform matrix is unitary (aka scaled DCT-II).
*
* See https://en.wikipedia.org/wiki/Discrete_cosine_transform#DCT-II(DCT-II in Discrete cosine
* transform).
*/
public class DCT implements Transformer, DCTParams {
private final Map, Object> paramMap = new HashMap<>();
public DCT() {
ParamUtils.initializeMapWithDefaultValues(paramMap, this);
}
@Override
public Table[] transform(Table... inputs) {
Preconditions.checkArgument(inputs.length == 1);
StreamTableEnvironment tEnv =
(StreamTableEnvironment) ((TableImpl) inputs[0]).getTableEnvironment();
RowTypeInfo inputTypeInfo = TableUtils.getRowTypeInfo(inputs[0].getResolvedSchema());
RowTypeInfo outputTypeInfo =
new RowTypeInfo(
ArrayUtils.addAll(
inputTypeInfo.getFieldTypes(), DenseVectorTypeInfo.INSTANCE),
ArrayUtils.addAll(inputTypeInfo.getFieldNames(), getOutputCol()));
DataStream stream =
tEnv.toDataStream(inputs[0])
.map(new DCTFunction(getInputCol(), getInverse()), outputTypeInfo);
return new Table[] {tEnv.fromDataStream(stream)};
}
/**
* A {@link MapFunction} that contains the main logic to perform discrete cosine transformation.
*/
private static class DCTFunction implements MapFunction {
private final String inputCol;
private final boolean isInverse;
private BiConsumer dctTransformer;
private long previousVectorSize;
private DCTFunction(String inputCol, boolean isInverse) {
this.inputCol = inputCol;
this.isInverse = isInverse;
this.dctTransformer = null;
this.previousVectorSize = -1;
}
@Override
public Row map(Row row) throws Exception {
Vector vector = row.getFieldAs(inputCol);
if (previousVectorSize != vector.size()) {
if (isInverse) {
dctTransformer = new DoubleDCT_1D(vector.size())::inverse;
} else {
dctTransformer = new DoubleDCT_1D(vector.size())::forward;
}
previousVectorSize = vector.size();
}
double[] array = vector.toArray();
if (vector instanceof DenseVector) {
array = array.clone();
}
dctTransformer.accept(array, true);
return Row.join(row, Row.of(Vectors.dense(array)));
}
}
@Override
public void save(String path) throws IOException {
ReadWriteUtils.saveMetadata(this, path);
}
public static DCT load(StreamTableEnvironment tEnv, String path) throws IOException {
return ReadWriteUtils.loadStageParam(path);
}
@Override
public Map, Object> getParamMap() {
return paramMap;
}
}