/* * 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.evaluation; import org.apache.hadoop.hive.ql.exec.Description; import org.apache.hadoop.hive.ql.exec.UDAF; import org.apache.hadoop.hive.ql.exec.UDAFEvaluator; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.serde2.io.DoubleWritable; @SuppressWarnings("deprecation") @Description(name = "mae", value = "_FUNC_(double predicted, double actual) - Return a Mean Absolute Error") public final class MeanAbsoluteErrorUDAF extends UDAF { public static class Evaluator implements UDAFEvaluator { private PartialResult partial; public Evaluator() {} @Override public void init() { this.partial = null; } public boolean iterate(DoubleWritable predicted, DoubleWritable actual) throws HiveException { if (predicted == null || actual == null) {// skip return true; } if (partial == null) { this.partial = new PartialResult(); } partial.iterate(predicted.get(), actual.get()); return true; } public PartialResult terminatePartial() { return partial; } public boolean merge(PartialResult other) throws HiveException { if (other == null) { return true; } if (partial == null) { this.partial = new PartialResult(); } partial.merge(other); return true; } public double terminate() { if (partial == null) { return 0.d; } return partial.getMAE(); } } public static class PartialResult { double diff_sum; long count; PartialResult() { this.diff_sum = 0d; this.count = 0L; } void iterate(double predicted, double actual) { diff_sum += Math.abs(predicted - actual); count++; } void merge(PartialResult other) { diff_sum += other.diff_sum; count += other.count; } double getMAE() { return diff_sum / count; } } }