lindong28 commented on a change in pull request #52: URL: https://github.com/apache/flink-ml/pull/52#discussion_r831835128
########## File path: flink-ml-lib/src/main/java/org/apache/flink/ml/feature/stringindexer/StringIndexerModel.java ########## @@ -0,0 +1,204 @@ +/* + * 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.stringindexer; + +import org.apache.flink.api.common.functions.RichFlatMapFunction; +import org.apache.flink.api.common.typeinfo.BasicTypeInfo; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.ml.api.Model; +import org.apache.flink.ml.common.broadcast.BroadcastUtils; +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.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; +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.Collector; +import org.apache.flink.util.Preconditions; + +import org.apache.commons.lang3.ArrayUtils; + +import java.io.IOException; +import java.util.Arrays; +import java.util.Collections; +import java.util.HashMap; +import java.util.Map; + +/** + * A Model which transforms input string/numeric column(s) to integer column(s) using the model data + * computed by {@link StringIndexer}. + */ +public class StringIndexerModel + implements Model<StringIndexerModel>, StringIndexerParams<StringIndexerModel> { + private final Map<Param<?>, Object> paramMap = new HashMap<>(); + private Table modelDataTable; + + public StringIndexerModel() { + ParamUtils.initializeMapWithDefaultValues(paramMap, this); + } + + @Override + public void save(String path) throws IOException { + ReadWriteUtils.saveMetadata(this, path); + ReadWriteUtils.saveModelData( + StringIndexerModelData.getModelDataStream(modelDataTable), + path, + new StringIndexerModelData.ModelDataEncoder()); + } + + public static StringIndexerModel load(StreamExecutionEnvironment env, String path) + throws IOException { + StreamTableEnvironment tEnv = StreamTableEnvironment.create(env); + StringIndexerModel model = ReadWriteUtils.loadStageParam(path); + DataStream<StringIndexerModelData> modelData = + ReadWriteUtils.loadModelData( + env, path, new StringIndexerModelData.ModelDataDecoder()); + return model.setModelData(tEnv.fromDataStream(modelData)); + } + + @Override + public Map<Param<?>, Object> getParamMap() { + return paramMap; + } + + @Override + public StringIndexerModel setModelData(Table... inputs) { + modelDataTable = inputs[0]; + return this; + } + + @Override + public Table[] getModelData() { + return new Table[] {modelDataTable}; + } + + @Override + public Table[] transform(Table... inputs) { + Preconditions.checkArgument(inputs.length == 1); + String[] inputCols = getInputCols(); + String[] outputCols = getOutputCols(); + Preconditions.checkArgument(inputCols.length == outputCols.length); + StreamTableEnvironment tEnv = + (StreamTableEnvironment) ((TableImpl) modelDataTable).getTableEnvironment(); + + final String broadcastModelKey = "broadcastModelKey"; + DataStream<StringIndexerModelData> modelDataStream = + StringIndexerModelData.getModelDataStream(modelDataTable); + RowTypeInfo inputTypeInfo = TableUtils.getRowTypeInfo(inputs[0].getResolvedSchema()); + TypeInformation<?>[] outputTypes = new TypeInformation[outputCols.length]; + Arrays.fill(outputTypes, BasicTypeInfo.INT_TYPE_INFO); + RowTypeInfo outputTypeInfo = + new RowTypeInfo( + ArrayUtils.addAll(inputTypeInfo.getFieldTypes(), outputTypes), + ArrayUtils.addAll(inputTypeInfo.getFieldNames(), getOutputCols())); + DataStream<Row> result = + BroadcastUtils.withBroadcastStream( + Collections.singletonList(tEnv.toDataStream(inputs[0])), + Collections.singletonMap(broadcastModelKey, modelDataStream), + inputList -> { + DataStream inputData = inputList.get(0); + return inputData.flatMap( + new String2Index( + broadcastModelKey, inputCols, getHandleInvalid()), + outputTypeInfo); + }); + return new Table[] {tEnv.fromDataStream(result)}; + } + + /** Maps the input columns to integer values according to the model data. */ + private static class String2Index extends RichFlatMapFunction<Row, Row> { + private HashMap<String, Integer>[] modelDataMap; + private final String broadcastModelKey; + private final String[] inputCols; + private final String handleInValid; + + public String2Index(String broadcastModelKey, String[] inputCols, String handleInValid) { + this.broadcastModelKey = broadcastModelKey; + this.inputCols = inputCols; + this.handleInValid = handleInValid; + } + + @Override + public void flatMap(Row input, Collector<Row> out) throws Exception { + if (modelDataMap == null) { + modelDataMap = new HashMap[inputCols.length]; + StringIndexerModelData modelData = + (StringIndexerModelData) + getRuntimeContext().getBroadcastVariable(broadcastModelKey).get(0); + String[][] stringsArray = modelData.stringsArray; + for (int i = 0; i < stringsArray.length; i++) { + int idx = 0; + modelDataMap[i] = new HashMap<>(stringsArray[i].length); + for (String string : stringsArray[i]) { + modelDataMap[i].put(string, idx++); + } + } + } + Row outputIndices = new Row(inputCols.length); + for (int i = 0; i < inputCols.length; i++) { + Object objVal = input.getField(inputCols[i]); + String stringVal; + if (objVal instanceof String) { + stringVal = (String) objVal; + } else if (objVal instanceof Number) { + stringVal = String.valueOf(objVal); + } else { + throw new RuntimeException( + "The input column only supports string type and numeric type."); + } + if (modelDataMap[i].containsKey(stringVal)) { + outputIndices.setField(i, modelDataMap[i].get(stringVal)); + } else { + switch (handleInValid) { + case StringIndexerModelParams.SKIP_INVALID: + return; + case StringIndexerModelParams.ERROR_INVALID: + throw new RuntimeException( Review comment: I mean the default branch. It is fixed now. -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
