/* * 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.common; /** * @see http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance */ public final class OnlineVariance { private long n; private double mean; private double m2; public OnlineVariance() { reset(); } public void reset() { this.n = 0L; this.mean = 0.d; this.m2 = 0.d; } public void handle(double x) { ++n; double delta = x - mean; mean += delta / n; m2 += delta * (x - mean); } public void unhandle(double x) { if (n == 0L) { return; // nop } if (n == 1L) { reset(); return; } double old_mean = (n * mean - x) / (n - 1L); m2 -= (x - mean) * (x - old_mean); mean = old_mean; --n; } public long numSamples() { return n; } public double mean() { return mean; } public double variance() { return n > 1 ? (m2 / (n - 1)) : 0.d; } public double stddev() { return Math.sqrt(variance()); } }