/* * 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 ml.shifu.shifu.udf; import java.io.IOException; import java.util.Iterator; import ml.shifu.guagua.util.NumberFormatUtils; import ml.shifu.shifu.container.obj.ColumnConfig; import ml.shifu.shifu.container.obj.ModelStatsConf.BinningMethod; import ml.shifu.shifu.core.binning.AbstractBinning; import ml.shifu.shifu.core.binning.CategoricalBinning; import ml.shifu.shifu.core.binning.EqualIntervalBinning; import ml.shifu.shifu.core.binning.EqualPopulationBinning; import org.apache.pig.data.DataBag; import org.apache.pig.data.DataType; import org.apache.pig.data.Tuple; import org.apache.pig.impl.logicalLayer.schema.Schema; /** * GenBinningDataUDF class * */ public class BinningPartialDataUDF extends AbstractTrainerUDF<String> { private int columnId = -1; private AbstractBinning<?> binning = null; private int histoScaleFactor; public BinningPartialDataUDF(String source, String pathModelConfig, String pathColumnConfig) throws IOException { this(source, pathModelConfig, pathColumnConfig, "100"); } public BinningPartialDataUDF(String source, String pathModelConfig, String pathColumnConfig, String histoScaleFactor) throws IOException { super(source, pathModelConfig, pathColumnConfig); this.histoScaleFactor = NumberFormatUtils.getInt(histoScaleFactor, 100); if(this.histoScaleFactor < 100) { this.histoScaleFactor = 100; } } /* * (non-Javadoc) * * @see org.apache.pig.EvalFunc#exec(org.apache.pig.data.Tuple) */ @Override public String exec(Tuple input) throws IOException { if(input == null) { return null; } DataBag databag = (DataBag) input.get(0); Iterator<Tuple> iterator = databag.iterator(); while(iterator.hasNext()) { Tuple element = iterator.next(); if(element == null) { continue; } if(columnId < 0) { columnId = (Integer) element.get(0); ColumnConfig columnConfig = super.columnConfigList.get(columnId); if(columnConfig.isCategorical()) { binning = new CategoricalBinning(-1); } else { if(super.modelConfig.getBinningMethod().equals(BinningMethod.EqualInterval)) { binning = new EqualIntervalBinning(modelConfig.getStats().getMaxNumBin()); } else { binning = new EqualPopulationBinning(modelConfig.getStats().getMaxNumBin()); } } } Object value = element.get(1); if (value != null) { if (isWeightBinningMethod() && binning instanceof EqualPopulationBinning) { ((EqualPopulationBinning) binning).addData(value.toString(), (Double) element.get(AddColumnNumUDF.COLUMN_WEIGHT_INDX)); } else { binning.addData(value.toString()); } } } String binningObjStr = ((binning == null) ? null : binning.objToString()); cleanUp(); return binningObjStr; } private boolean isWeightBinningMethod(){ return modelConfig.getBinningMethod().equals(BinningMethod.WeightEqualTotal) || modelConfig.getBinningMethod().equals(BinningMethod.WeightEqualInterval) || modelConfig.getBinningMethod().equals(BinningMethod.WeightEqualPositive) || modelConfig.getBinningMethod().equals(BinningMethod.WeightEqualNegative); } /** * cleanup the binning information */ private void cleanUp() { this.columnId = -1; this.binning = null; } @Override public Schema outputSchema(Schema input) { return new Schema(new Schema.FieldSchema("binning_info", DataType.CHARARRAY)); } }