• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1 ///////////////////////////////////////////////////////////////////////////////
2 // weighted_variance.hpp
3 //
4 //  Copyright 2005 Daniel Egloff, Eric Niebler. Distributed under the Boost
5 //  Software License, Version 1.0. (See accompanying file
6 //  LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
7 
8 #ifndef BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
9 #define BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
10 
11 #include <boost/mpl/placeholders.hpp>
12 #include <boost/accumulators/framework/accumulator_base.hpp>
13 #include <boost/accumulators/framework/extractor.hpp>
14 #include <boost/accumulators/numeric/functional.hpp>
15 #include <boost/accumulators/framework/parameters/sample.hpp>
16 #include <boost/accumulators/framework/depends_on.hpp>
17 #include <boost/accumulators/statistics_fwd.hpp>
18 #include <boost/accumulators/statistics/count.hpp>
19 #include <boost/accumulators/statistics/variance.hpp>
20 #include <boost/accumulators/statistics/weighted_sum.hpp>
21 #include <boost/accumulators/statistics/weighted_mean.hpp>
22 #include <boost/accumulators/statistics/weighted_moment.hpp>
23 
24 namespace boost { namespace accumulators
25 {
26 
27 namespace impl
28 {
29     //! Lazy calculation of variance of weighted samples.
30     /*!
31         The default implementation of the variance of weighted samples is based on the second moment
32         \f$\widehat{m}_n^{(2)}\f$ (weighted_moment<2>) and the mean\f$ \hat{\mu}_n\f$ (weighted_mean):
33         \f[
34             \hat{\sigma}_n^2 = \widehat{m}_n^{(2)}-\hat{\mu}_n^2,
35         \f]
36         where \f$n\f$ is the number of samples.
37     */
38     template<typename Sample, typename Weight, typename MeanFeature>
39     struct lazy_weighted_variance_impl
40       : accumulator_base
41     {
42         typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
43         // for boost::result_of
44         typedef typename numeric::functional::fdiv<weighted_sample, Weight>::result_type result_type;
45 
lazy_weighted_variance_implboost::accumulators::impl::lazy_weighted_variance_impl46         lazy_weighted_variance_impl(dont_care) {}
47 
48         template<typename Args>
resultboost::accumulators::impl::lazy_weighted_variance_impl49         result_type result(Args const &args) const
50         {
51             extractor<MeanFeature> const some_mean = {};
52             result_type tmp = some_mean(args);
53             return accumulators::weighted_moment<2>(args) - tmp * tmp;
54         }
55     };
56 
57     //! Iterative calculation of variance of weighted samples.
58     /*!
59         Iterative calculation of variance of weighted samples:
60         \f[
61             \hat{\sigma}_n^2 =
62                 \frac{\bar{w}_n - w_n}{\bar{w}_n}\hat{\sigma}_{n - 1}^2
63               + \frac{w_n}{\bar{w}_n - w_n}\left(X_n - \hat{\mu}_n\right)^2
64             ,\quad n\ge2,\quad\hat{\sigma}_0^2 = 0.
65         \f]
66         where \f$\bar{w}_n\f$ is the sum of the \f$n\f$ weights \f$w_i\f$ and \f$\hat{\mu}_n\f$
67         the estimate of the mean of the weighted samples. Note that the sample variance is not defined for
68         \f$n <= 1\f$.
69     */
70     template<typename Sample, typename Weight, typename MeanFeature, typename Tag>
71     struct weighted_variance_impl
72       : accumulator_base
73     {
74         typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
75         // for boost::result_of
76         typedef typename numeric::functional::fdiv<weighted_sample, Weight>::result_type result_type;
77 
78         template<typename Args>
weighted_variance_implboost::accumulators::impl::weighted_variance_impl79         weighted_variance_impl(Args const &args)
80           : weighted_variance(numeric::fdiv(args[sample | Sample()], numeric::one<Weight>::value))
81         {
82         }
83 
84         template<typename Args>
operator ()boost::accumulators::impl::weighted_variance_impl85         void operator ()(Args const &args)
86         {
87             std::size_t cnt = count(args);
88 
89             if(cnt > 1)
90             {
91                 extractor<MeanFeature> const some_mean = {};
92 
93                 result_type tmp = args[parameter::keyword<Tag>::get()] - some_mean(args);
94 
95                 this->weighted_variance =
96                     numeric::fdiv(this->weighted_variance * (sum_of_weights(args) - args[weight]), sum_of_weights(args))
97                   + numeric::fdiv(tmp * tmp * args[weight], sum_of_weights(args) - args[weight] );
98             }
99         }
100 
resultboost::accumulators::impl::weighted_variance_impl101         result_type result(dont_care) const
102         {
103             return this->weighted_variance;
104         }
105 
106         // make this accumulator serializeable
107         template<class Archive>
serializeboost::accumulators::impl::weighted_variance_impl108         void serialize(Archive & ar, const unsigned int file_version)
109         {
110             ar & weighted_variance;
111         }
112 
113     private:
114         result_type weighted_variance;
115     };
116 
117 } // namespace impl
118 
119 ///////////////////////////////////////////////////////////////////////////////
120 // tag::weighted_variance
121 // tag::immediate_weighted_variance
122 //
123 namespace tag
124 {
125     struct lazy_weighted_variance
126       : depends_on<weighted_moment<2>, weighted_mean>
127     {
128         /// INTERNAL ONLY
129         ///
130         typedef accumulators::impl::lazy_weighted_variance_impl<mpl::_1, mpl::_2, weighted_mean> impl;
131     };
132 
133     struct weighted_variance
134       : depends_on<count, immediate_weighted_mean>
135     {
136         /// INTERNAL ONLY
137         ///
138         typedef accumulators::impl::weighted_variance_impl<mpl::_1, mpl::_2, immediate_weighted_mean, sample> impl;
139     };
140 }
141 
142 ///////////////////////////////////////////////////////////////////////////////
143 // extract::weighted_variance
144 // extract::immediate_weighted_variance
145 //
146 namespace extract
147 {
148     extractor<tag::lazy_weighted_variance> const lazy_weighted_variance = {};
149     extractor<tag::weighted_variance> const weighted_variance = {};
150 
151     BOOST_ACCUMULATORS_IGNORE_GLOBAL(lazy_weighted_variance)
152     BOOST_ACCUMULATORS_IGNORE_GLOBAL(weighted_variance)
153 }
154 
155 using extract::lazy_weighted_variance;
156 using extract::weighted_variance;
157 
158 // weighted_variance(lazy) -> lazy_weighted_variance
159 template<>
160 struct as_feature<tag::weighted_variance(lazy)>
161 {
162     typedef tag::lazy_weighted_variance type;
163 };
164 
165 // weighted_variance(immediate) -> weighted_variance
166 template<>
167 struct as_feature<tag::weighted_variance(immediate)>
168 {
169     typedef tag::weighted_variance type;
170 };
171 
172 ////////////////////////////////////////////////////////////////////////////
173 //// droppable_accumulator<weighted_variance_impl>
174 ////  need to specialize droppable lazy weighted_variance to cache the result at the
175 ////  point the accumulator is dropped.
176 ///// INTERNAL ONLY
177 /////
178 //template<typename Sample, typename Weight, typename MeanFeature>
179 //struct droppable_accumulator<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
180 //  : droppable_accumulator_base<
181 //        with_cached_result<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
182 //    >
183 //{
184 //    template<typename Args>
185 //    droppable_accumulator(Args const &args)
186 //      : droppable_accumulator::base(args)
187 //    {
188 //    }
189 //};
190 
191 }} // namespace boost::accumulators
192 
193 #endif
194