/** * Copyright 2013-2015 Pierre Merienne * * Licensed 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 com.github.pmerienne.trident.ml.stats; import static org.junit.Assert.assertEquals; import java.util.Random; import org.junit.Test; import com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics; public class FixedStreamFeatureStatisticsTest { @Test public void testUpdate() { // Given Random random = new Random(); double expectedMean = 4.0; double stdDev = 6.0; int size = 10000; double[] features = new double[size]; for (int i = 0; i < size; i++) { features[i] = expectedMean + random.nextGaussian() * stdDev; } // When FixedStreamFeatureStatistics statistics = new FixedStreamFeatureStatistics(); for (int i = 0; i < size; i++) { statistics.update(features[i]); } // Then assertEquals(expectedMean, statistics.getMean(), 0.1); assertEquals(stdDev, statistics.getStdDev(), 0.1); } }