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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.

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/*
 * 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.
 */
/**
 *
 *        Generic univariate summary statistic objects.
 *
 *        UnivariateStatistic API Usage Examples:
 *
 *        UnivariateStatistic:
 *        /∗ evaluation approach ∗/

 *          double[] values = new double[] { 1, 2, 3, 4, 5 };

 *          UnivariateStatistic stat = new Mean();

 *          out.println("mean = " + stat.evaluate(values));

 *        
 *
 *        StorelessUnivariateStatistic:
 *        /∗ incremental approach ∗/

 *          double[] values = new double[] { 1, 2, 3, 4, 5 };

 *          StorelessUnivariateStatistic stat = new Mean();

 *          out.println("mean before adding a value is NaN = " + stat.getResult());

 *          for (int i = 0; i < values.length; i++) {

 *                stat.increment(values[i]);

 *                out.println("current mean = " + stat2.getResult());

 *          }

 *           stat.clear();

 *          out.println("mean after clear is NaN = " + stat.getResult());
 *        
 *
 */
package org.apache.commons.math3.stat.descriptive;