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The Apache Commons Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.
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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.
*/
package org.apache.commons.math3.stat.descriptive;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
/**
* Weighted evaluation for statistics.
*
* @since 2.1
*/
public interface WeightedEvaluation {
/**
* Returns the result of evaluating the statistic over the input array,
* using the supplied weights.
*
* @param values input array
* @param weights array of weights
* @return the value of the weighted statistic applied to the input array
* @throws MathIllegalArgumentException if either array is null, lengths
* do not match, weights contain NaN, negative or infinite values, or
* weights does not include at least on positive value
*/
double evaluate(double[] values, double[] weights) throws MathIllegalArgumentException;
/**
* Returns the result of evaluating the statistic over the specified entries
* in the input array, using corresponding entries in the supplied weights array.
*
* @param values the input array
* @param weights array of weights
* @param begin the index of the first element to include
* @param length the number of elements to include
* @return the value of the weighted statistic applied to the included array entries
* @throws MathIllegalArgumentException if either array is null, lengths
* do not match, indices are invalid, weights contain NaN, negative or
* infinite values, or weights does not include at least on positive value
*/
double evaluate(double[] values, double[] weights, int begin, int length)
throws MathIllegalArgumentException;
}