/* * 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 hivemall.xgboost.tools; import org.apache.hadoop.hive.ql.exec.Description; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory; import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory; import java.util.ArrayList; import java.util.List; @Description( name = "xgboost_predict", value = "_FUNC_(string rowid, string[] features, string model_id, array<byte> pred_model [, string options]) " + "- Returns a prediction result as (string rowid, float predicted)" ) public final class XGBoostPredictUDTF extends hivemall.xgboost.XGBoostPredictUDTF { public XGBoostPredictUDTF() {} /** Return (string rowid, float predicted) as a result */ @Override public StructObjectInspector getReturnOI() { final ArrayList fieldNames = new ArrayList(2); final ArrayList fieldOIs = new ArrayList(2); fieldNames.add("rowid"); fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector); fieldNames.add("predicted"); fieldOIs.add(PrimitiveObjectInspectorFactory.javaFloatObjectInspector); return ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs); } @Override public void forwardPredicted( final List<LabeledPointWithRowId> testData, final float[][] predicted) throws HiveException { assert(predicted.length == testData.size()); for(int i = 0; i < testData.size(); i++) { assert(predicted[i].length == 1); final String rowId = testData.get(i).rowId; float p = predicted[i][0]; forward(new Object[]{rowId, p}); } } }