All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.flink.ml.feature.dct.DCT Maven / Gradle / Ivy

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

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; } }





© 2015 - 2025 Weber Informatics LLC | Privacy Policy