001 /* 002 * Licensed to the Apache Software Foundation (ASF) under one or more 003 * contributor license agreements. See the NOTICE file distributed with 004 * this work for additional information regarding copyright ownership. 005 * The ASF licenses this file to You under the Apache License, Version 2.0 006 * (the "License"); you may not use this file except in compliance with 007 * the License. You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 */ 017 package org.apache.commons.math3.stat.descriptive; 018 019 import org.apache.commons.math3.exception.MathIllegalArgumentException; 020 021 /** 022 * Weighted evaluation for statistics. 023 * 024 * @since 2.1 025 * @version $Id: WeightedEvaluation.java 1382332 2012-09-08 17:27:47Z psteitz $ 026 */ 027 public interface WeightedEvaluation { 028 029 /** 030 * Returns the result of evaluating the statistic over the input array, 031 * using the supplied weights. 032 * 033 * @param values input array 034 * @param weights array of weights 035 * @return the value of the weighted statistic applied to the input array 036 * @throws MathIllegalArgumentException if either array is null, lengths 037 * do not match, weights contain NaN, negative or infinite values, or 038 * weights does not include at least on positive value 039 */ 040 double evaluate(double[] values, double[] weights) throws MathIllegalArgumentException; 041 042 /** 043 * Returns the result of evaluating the statistic over the specified entries 044 * in the input array, using corresponding entries in the supplied weights array. 045 * 046 * @param values the input array 047 * @param weights array of weights 048 * @param begin the index of the first element to include 049 * @param length the number of elements to include 050 * @return the value of the weighted statistic applied to the included array entries 051 * @throws MathIllegalArgumentException if either array is null, lengths 052 * do not match, indices are invalid, weights contain NaN, negative or 053 * infinite values, or weights does not include at least on positive value 054 */ 055 double evaluate(double[] values, double[] weights, int begin, int length) 056 throws MathIllegalArgumentException; 057 058 }