vacaly commented on code in PR #192: URL: https://github.com/apache/flink-ml/pull/192#discussion_r1093934595
########## flink-ml-lib/src/main/java/org/apache/flink/ml/recommendation/swing/Swing.java: ########## @@ -0,0 +1,455 @@ +/* + * 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.recommendation.swing; + +import org.apache.flink.api.common.functions.MapFunction; +import org.apache.flink.api.common.state.ListState; +import org.apache.flink.api.common.state.ListStateDescriptor; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; +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.api.java.typeutils.TupleTypeInfo; +import org.apache.flink.iteration.operator.OperatorStateUtils; +import org.apache.flink.ml.api.Transformer; +import org.apache.flink.ml.common.datastream.TableUtils; +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.runtime.state.StateInitializationContext; +import org.apache.flink.runtime.state.StateSnapshotContext; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator; +import org.apache.flink.streaming.api.operators.AbstractStreamOperator; +import org.apache.flink.streaming.api.operators.BoundedOneInput; +import org.apache.flink.streaming.api.operators.OneInputStreamOperator; +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord; +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.table.catalog.ResolvedSchema; +import org.apache.flink.types.Row; +import org.apache.flink.util.Preconditions; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedHashSet; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Random; +import java.util.Set; + +/** + * An Transformer which implements the Swing algorithm. + * + * <p>Swing is an item recall model. The topology of user-item graph usually can be described as + * user-item-user or item-user-item, which are like 'swing'. For example, if both user <em>u</em> + * and user <em>v</em> have purchased the same commodity <em>i</em> , they will form a relationship + * diagram similar to a swing. If <em>u</em> and <em>v</em> have purchased commodity <em>j</em> in + * addition to <em>i</em>, it is supposed <em>i</em> and <em>j</em> are similar. + */ +public class Swing implements Transformer<Swing>, SwingParams<Swing> { + private final Map<Param<?>, Object> paramMap = new HashMap<>(); + + public Swing() { + ParamUtils.initializeMapWithDefaultValues(paramMap, this); + } + + @Override + public Table[] transform(Table... inputs) { + + final String userCol = getUserCol(); + final String itemCol = getItemCol(); + Preconditions.checkArgument(inputs.length == 1); + final ResolvedSchema schema = inputs[0].getResolvedSchema(); + + if (!(Types.LONG.equals(TableUtils.getTypeInfoByName(schema, userCol)) + && Types.LONG.equals(TableUtils.getTypeInfoByName(schema, itemCol)))) { + throw new IllegalArgumentException("The types of user and item columns must be Long."); + } + + StreamTableEnvironment tEnv = + (StreamTableEnvironment) ((TableImpl) inputs[0]).getTableEnvironment(); + + SingleOutputStreamOperator<Tuple2<Long, Long>> itemUsers = + tEnv.toDataStream(inputs[0]) + .map( + row -> { + if (row.getFieldAs(userCol) == null + || row.getFieldAs(itemCol) == null) { + throw new RuntimeException( + "Data of user and item column must not be null"); + } + return Tuple2.of( + ((Number) row.getFieldAs(userCol)).longValue(), + ((Number) row.getFieldAs(itemCol)).longValue()); + }) + .returns(Types.TUPLE(Types.LONG, Types.LONG)); + + SingleOutputStreamOperator<Tuple3<Long, Long, List<Long>>> userAllItemsStream = + itemUsers + .keyBy(tuple -> tuple.f0) + .transform( + "fillUserItemsTable", + Types.TUPLE(Types.LONG, Types.LONG, Types.LIST(Types.LONG)), + new BuildSwingData(getMinUserItems(), getMaxUserItems())); + + RowTypeInfo outputTypeInfo = + new RowTypeInfo( + new TypeInformation[] { + BasicTypeInfo.LONG_TYPE_INFO, BasicTypeInfo.STRING_TYPE_INFO + }, + new String[] {getItemCol(), getOutputCol()}); + + DataStream<Row> output = + userAllItemsStream + .keyBy(tuple -> tuple.f1) + .transform( + "calculateSwingSimilarity", + new TupleTypeInfo<>( + BasicTypeInfo.LONG_TYPE_INFO, + BasicTypeInfo.STRING_TYPE_INFO), + new CalculateSimilarity( + getK(), + getMaxItemUsers(), + getAlpha1(), + getAlpha2(), + getBeta())) + .map( + new MapFunction<Tuple2<Long, String>, Row>() { Review Comment: This operator is used to add the `outputTypeInfo` for `output` DataStream. It was silly of me to not have seen the second param of `transform` for passing output type and `map` has been deleted . -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
