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1   /*
2    * Licensed to the Apache Software Foundation (ASF) under one or more
3    * contributor license agreements.  See the NOTICE file distributed with
4    * this work for additional information regarding copyright ownership.
5    * The ASF licenses this file to You under the Apache License, Version 2.0
6    * (the "License"); you may not use this file except in compliance with
7    * the License.  You may obtain a copy of the License at
8    *
9    *      http://www.apache.org/licenses/LICENSE-2.0
10   *
11   * Unless required by applicable law or agreed to in writing, software
12   * distributed under the License is distributed on an "AS IS" BASIS,
13   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14   * See the License for the specific language governing permissions and
15   * limitations under the License.
16   */
17  package org.apache.commons.math4.legacy.stat.descriptive;
18  
19  import org.apache.commons.math4.legacy.exception.MathIllegalArgumentException;
20  
21  /**
22   * Weighted evaluation for statistics.
23   *
24   * @since 2.1
25   */
26  public interface WeightedEvaluation {
27  
28      /**
29       * Returns the result of evaluating the statistic over the input array,
30       * using the supplied weights.
31       *
32       * @param values input array
33       * @param weights array of weights
34       * @return the value of the weighted statistic applied to the input array
35       * @throws MathIllegalArgumentException if either array is null, lengths
36       * do not match, weights contain NaN, negative or infinite values, or
37       * weights does not include at least on positive value
38       */
39      double evaluate(double[] values, double[] weights) throws MathIllegalArgumentException;
40  
41      /**
42       * Returns the result of evaluating the statistic over the specified entries
43       * in the input array, using corresponding entries in the supplied weights array.
44       *
45       * @param values the input array
46       * @param weights array of weights
47       * @param begin the index of the first element to include
48       * @param length the number of elements to include
49       * @return the value of the weighted statistic applied to the included array entries
50       * @throws MathIllegalArgumentException if either array is null, lengths
51       * do not match, indices are invalid, weights contain NaN, negative or
52       * infinite values, or weights does not include at least on positive value
53       */
54      double evaluate(double[] values, double[] weights, int begin, int length)
55      throws MathIllegalArgumentException;
56  }