/** * 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.mahout.cf.taste.impl.common; import org.apache.mahout.cf.taste.impl.TasteTestCase; import org.junit.Test; /** * <p>Tests {@link WeightedRunningAverage} and {@link WeightedRunningAverageAndStdDev}.</p> */ public final class WeightedRunningAverageTest extends TasteTestCase { @Test public void testWeighted() { WeightedRunningAverage runningAverage = new WeightedRunningAverage(); assertEquals(0, runningAverage.getCount()); assertTrue(Double.isNaN(runningAverage.getAverage())); runningAverage.addDatum(1.0, 2.0); assertEquals(1.0, runningAverage.getAverage(), EPSILON); runningAverage.addDatum(1.0); assertEquals(1.0, runningAverage.getAverage(), EPSILON); runningAverage.addDatum(8.0, 0.5); assertEquals(2.0, runningAverage.getAverage(), EPSILON); runningAverage.addDatum(-4.0); assertEquals(2.0/3.0, runningAverage.getAverage(), EPSILON); runningAverage.removeDatum(-4.0); assertEquals(2.0, runningAverage.getAverage(), EPSILON); runningAverage.removeDatum(2.0, 2.0); assertEquals(2.0, runningAverage.getAverage(), EPSILON); runningAverage.changeDatum(0.0); assertEquals(2.0, runningAverage.getAverage(), EPSILON); runningAverage.changeDatum(4.0, 0.5); assertEquals(5.0/1.5, runningAverage.getAverage(), EPSILON); } @Test public void testWeightedAndStdDev() { WeightedRunningAverageAndStdDev runningAverage = new WeightedRunningAverageAndStdDev(); assertEquals(0, runningAverage.getCount()); assertTrue(Double.isNaN(runningAverage.getAverage())); assertTrue(Double.isNaN(runningAverage.getStandardDeviation())); runningAverage.addDatum(1.0); assertEquals(1.0, runningAverage.getAverage(), EPSILON); assertTrue(Double.isNaN(runningAverage.getStandardDeviation())); runningAverage.addDatum(1.0, 2.0); assertEquals(1.0, runningAverage.getAverage(), EPSILON); assertEquals(0.0, runningAverage.getStandardDeviation(), EPSILON); runningAverage.addDatum(8.0, 0.5); assertEquals(2.0, runningAverage.getAverage(), EPSILON); assertEquals(Math.sqrt(10.5), runningAverage.getStandardDeviation(), EPSILON); runningAverage.addDatum(-4.0); assertEquals(2.0/3.0, runningAverage.getAverage(), EPSILON); assertEquals(Math.sqrt(15.75), runningAverage.getStandardDeviation(), EPSILON); runningAverage.removeDatum(-4.0); assertEquals(2.0, runningAverage.getAverage(), EPSILON); assertEquals(Math.sqrt(10.5), runningAverage.getStandardDeviation(), EPSILON); runningAverage.removeDatum(2.0, 2.0); assertEquals(2.0, runningAverage.getAverage(), EPSILON); assertEquals(Math.sqrt(31.5), runningAverage.getStandardDeviation(), EPSILON); } }