weibozhao commented on a change in pull request #24: URL: https://github.com/apache/flink-ml/pull/24#discussion_r765525887
########## File path: flink-ml-lib/src/main/java/org/apache/flink/ml/classification/knn/KnnModelData.java ########## @@ -0,0 +1,165 @@ +/* + * 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.classification.knn; + +import org.apache.flink.api.common.serialization.Encoder; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.tuple.Tuple3; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +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.DataInputView; +import org.apache.flink.core.memory.DataInputViewStreamWrapper; +import org.apache.flink.core.memory.DataOutputView; +import org.apache.flink.core.memory.DataOutputViewStreamWrapper; +import org.apache.flink.ml.linalg.DenseMatrix; +import org.apache.flink.ml.linalg.DenseVector; +import org.apache.flink.ml.linalg.typeinfo.DenseMatrixSerializer; +import org.apache.flink.ml.linalg.typeinfo.DenseVectorSerializer; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.api.Schema; +import org.apache.flink.types.Row; + +import java.io.EOFException; +import java.io.IOException; +import java.io.OutputStream; +import java.util.ArrayList; +import java.util.Comparator; +import java.util.List; +import java.util.Objects; + +/** Knn model data, which stores the data used to calculate the distances between nodes. */ +public class KnnModelData { + private final List<Tuple3<DenseMatrix, DenseVector, int[]>> dictData; + private final Comparator<? super Tuple2<Double, Integer>> comparator; + + /** + * Constructor. + * + * @param list Row list. + */ + public KnnModelData(List<Row> list) { + this.dictData = new ArrayList<>(list.size()); + for (Row row : list) { + this.dictData.add( + Tuple3.of( + (DenseMatrix) row.getField(0), + (DenseVector) row.getField(1), + (int[]) row.getField(2))); + } + comparator = Comparator.comparingDouble(o -> -o.f0); + } + + /** + * Gets comparator. + * + * @return Comparator. + */ + public Comparator<? super Tuple2<Double, Integer>> getQueueComparator() { + return comparator; + } + + /** + * Gets dictionary data size. + * + * @return Dictionary data size. + */ + public Integer getLength() { + return dictData.size(); + } + + public List<Tuple3<DenseMatrix, DenseVector, int[]>> getDictData() { + return dictData; + } + + /** Encoder for the Knn model data. */ + public static class ModelDataEncoder implements Encoder<Row> { + @Override + public void encode(Row modelData, OutputStream outputStream) throws IOException { + DataOutputView dataOutputView = new DataOutputViewStreamWrapper(outputStream); + + DenseMatrixSerializer matrixSerializer = new DenseMatrixSerializer(); + matrixSerializer.serialize((DenseMatrix) modelData.getField(0), dataOutputView); + + DenseVectorSerializer vectorSerializer = new DenseVectorSerializer(); + vectorSerializer.serialize((DenseVector) modelData.getField(1), dataOutputView); + + int[] label = (int[]) Objects.requireNonNull(modelData.getField(2)); + for (Integer integer : label) { + dataOutputView.writeInt(integer); + } + } + } + + /** Decoder for the Knn model data. */ + public static class ModelDataStreamFormat extends SimpleStreamFormat<Row> { + + @Override + public Reader<Row> createReader(Configuration config, FSDataInputStream stream) { + return new Reader<Row>() { + + @Override + public Row read() throws IOException { + try { + DataInputView source = new DataInputViewStreamWrapper(stream); + DenseMatrix matrix = new DenseMatrixSerializer().deserialize(source); + DenseVector vector = new DenseVectorSerializer().deserialize(source); + int[] label = new int[vector.size()]; + for (int i = 0; i < label.length; ++i) { + label[i] = source.readInt(); + } + return Row.of(matrix, vector, label); + } catch (EOFException e) { + return null; + } + } + + @Override + public void close() throws IOException { + stream.close(); + } + }; + } + + @Override + public TypeInformation<Row> getProducedType() { Review comment:  KMeans and LR also override this function, but the return value are different. -- This is an automated message from the Apache Git Service. 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