Raymond | dee0849 | 2015-04-02 10:43:13 -0700 | [diff] [blame] | 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 | |
| 18 | package org.apache.commons.math.optimization.fitting; |
| 19 | |
| 20 | import org.apache.commons.math.FunctionEvaluationException; |
| 21 | import org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer; |
| 22 | import org.apache.commons.math.optimization.OptimizationException; |
| 23 | import org.apache.commons.math.optimization.fitting.CurveFitter; |
| 24 | import org.apache.commons.math.optimization.fitting.WeightedObservedPoint; |
| 25 | |
| 26 | /** |
| 27 | * Fits points to a Gaussian function (that is, a {@link GaussianFunction}). |
| 28 | * <p> |
| 29 | * Usage example: |
| 30 | * <pre> |
| 31 | * GaussianFitter fitter = new GaussianFitter( |
| 32 | * new LevenbergMarquardtOptimizer()); |
| 33 | * fitter.addObservedPoint(4.0254623, 531026.0); |
| 34 | * fitter.addObservedPoint(4.03128248, 984167.0); |
| 35 | * fitter.addObservedPoint(4.03839603, 1887233.0); |
| 36 | * fitter.addObservedPoint(4.04421621, 2687152.0); |
| 37 | * fitter.addObservedPoint(4.05132976, 3461228.0); |
| 38 | * fitter.addObservedPoint(4.05326982, 3580526.0); |
| 39 | * fitter.addObservedPoint(4.05779662, 3439750.0); |
| 40 | * fitter.addObservedPoint(4.0636168, 2877648.0); |
| 41 | * fitter.addObservedPoint(4.06943698, 2175960.0); |
| 42 | * fitter.addObservedPoint(4.07525716, 1447024.0); |
| 43 | * fitter.addObservedPoint(4.08237071, 717104.0); |
| 44 | * fitter.addObservedPoint(4.08366408, 620014.0); |
| 45 | * GaussianFunction fitFunction = fitter.fit(); |
| 46 | * </pre> |
| 47 | * |
| 48 | * @see ParametricGaussianFunction |
| 49 | * @since 2.2 |
| 50 | * @version $Revision: 1073158 $ $Date: 2011-02-21 22:46:52 +0100 (lun. 21 févr. 2011) $ |
| 51 | */ |
| 52 | public class GaussianFitter { |
| 53 | |
| 54 | /** Fitter used for fitting. */ |
| 55 | private final CurveFitter fitter; |
| 56 | |
| 57 | /** |
| 58 | * Constructs an instance using the specified optimizer. |
| 59 | * |
| 60 | * @param optimizer optimizer to use for the fitting |
| 61 | */ |
| 62 | public GaussianFitter(DifferentiableMultivariateVectorialOptimizer optimizer) { |
| 63 | fitter = new CurveFitter(optimizer); |
| 64 | } |
| 65 | |
| 66 | /** |
| 67 | * Adds point (<code>x</code>, <code>y</code>) to list of observed points |
| 68 | * with a weight of 1.0. |
| 69 | * |
| 70 | * @param x <tt>x</tt> point value |
| 71 | * @param y <tt>y</tt> point value |
| 72 | */ |
| 73 | public void addObservedPoint(double x, double y) { |
| 74 | addObservedPoint(1.0, x, y); |
| 75 | } |
| 76 | |
| 77 | /** |
| 78 | * Adds point (<code>x</code>, <code>y</code>) to list of observed points |
| 79 | * with a weight of <code>weight</code>. |
| 80 | * |
| 81 | * @param weight weight assigned to point |
| 82 | * @param x <tt>x</tt> point value |
| 83 | * @param y <tt>y</tt> point value |
| 84 | */ |
| 85 | public void addObservedPoint(double weight, double x, double y) { |
| 86 | fitter.addObservedPoint(weight, x, y); |
| 87 | } |
| 88 | |
| 89 | /** |
| 90 | * Fits Gaussian function to the observed points. |
| 91 | * |
| 92 | * @return Gaussian function best fitting the observed points |
| 93 | * |
| 94 | * @throws FunctionEvaluationException if <code>CurveFitter.fit</code> throws it |
| 95 | * @throws OptimizationException if <code>CurveFitter.fit</code> throws it |
| 96 | * @throws IllegalArgumentException if <code>CurveFitter.fit</code> throws it |
| 97 | * |
| 98 | * @see CurveFitter |
| 99 | */ |
| 100 | public GaussianFunction fit() throws FunctionEvaluationException, OptimizationException { |
| 101 | return new GaussianFunction(fitter.fit(new ParametricGaussianFunction(), |
| 102 | createParametersGuesser(fitter.getObservations()).guess())); |
| 103 | } |
| 104 | |
| 105 | /** |
| 106 | * Factory method to create a <code>GaussianParametersGuesser</code> |
| 107 | * instance initialized with the specified observations. |
| 108 | * |
| 109 | * @param observations points used to initialize the created |
| 110 | * <code>GaussianParametersGuesser</code> instance |
| 111 | * |
| 112 | * @return new <code>GaussianParametersGuesser</code> instance |
| 113 | */ |
| 114 | protected GaussianParametersGuesser createParametersGuesser(WeightedObservedPoint[] observations) { |
| 115 | return new GaussianParametersGuesser(observations); |
| 116 | } |
| 117 | } |