]> git.proxmox.com Git - ceph.git/blob - ceph/src/boost/libs/accumulators/include/boost/accumulators/statistics/variance.hpp
add subtree-ish sources for 12.0.3
[ceph.git] / ceph / src / boost / libs / accumulators / include / boost / accumulators / statistics / variance.hpp
1 ///////////////////////////////////////////////////////////////////////////////
2 // 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_VARIANCE_HPP_EAN_28_10_2005
9 #define BOOST_ACCUMULATORS_STATISTICS_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/sum.hpp>
20 #include <boost/accumulators/statistics/mean.hpp>
21 #include <boost/accumulators/statistics/moment.hpp>
22
23 namespace boost { namespace accumulators
24 {
25
26 namespace impl
27 {
28 //! Lazy calculation of variance.
29 /*!
30 Default sample variance implementation based on the second moment \f$ M_n^{(2)} \f$ moment<2>, mean and count.
31 \f[
32 \sigma_n^2 = M_n^{(2)} - \mu_n^2.
33 \f]
34 where
35 \f[
36 \mu_n = \frac{1}{n} \sum_{i = 1}^n x_i.
37 \f]
38 is the estimate of the sample mean and \f$n\f$ is the number of samples.
39 */
40 template<typename Sample, typename MeanFeature>
41 struct lazy_variance_impl
42 : accumulator_base
43 {
44 // for boost::result_of
45 typedef typename numeric::functional::fdiv<Sample, std::size_t>::result_type result_type;
46
47 lazy_variance_impl(dont_care) {}
48
49 template<typename Args>
50 result_type result(Args const &args) const
51 {
52 extractor<MeanFeature> mean;
53 result_type tmp = mean(args);
54 return accumulators::moment<2>(args) - tmp * tmp;
55 }
56 };
57
58 //! Iterative calculation of variance.
59 /*!
60 Iterative calculation of sample variance \f$\sigma_n^2\f$ according to the formula
61 \f[
62 \sigma_n^2 = \frac{1}{n} \sum_{i = 1}^n (x_i - \mu_n)^2 = \frac{n-1}{n} \sigma_{n-1}^2 + \frac{1}{n-1}(x_n - \mu_n)^2.
63 \f]
64 where
65 \f[
66 \mu_n = \frac{1}{n} \sum_{i = 1}^n x_i.
67 \f]
68 is the estimate of the sample mean and \f$n\f$ is the number of samples.
69
70 Note that the sample variance is not defined for \f$n <= 1\f$.
71
72 A simplification can be obtained by the approximate recursion
73 \f[
74 \sigma_n^2 \approx \frac{n-1}{n} \sigma_{n-1}^2 + \frac{1}{n}(x_n - \mu_n)^2.
75 \f]
76 because the difference
77 \f[
78 \left(\frac{1}{n-1} - \frac{1}{n}\right)(x_n - \mu_n)^2 = \frac{1}{n(n-1)}(x_n - \mu_n)^2.
79 \f]
80 converges to zero as \f$n \rightarrow \infty\f$. However, for small \f$ n \f$ the difference
81 can be non-negligible.
82 */
83 template<typename Sample, typename MeanFeature, typename Tag>
84 struct variance_impl
85 : accumulator_base
86 {
87 // for boost::result_of
88 typedef typename numeric::functional::fdiv<Sample, std::size_t>::result_type result_type;
89
90 template<typename Args>
91 variance_impl(Args const &args)
92 : variance(numeric::fdiv(args[sample | Sample()], numeric::one<std::size_t>::value))
93 {
94 }
95
96 template<typename Args>
97 void operator ()(Args const &args)
98 {
99 std::size_t cnt = count(args);
100
101 if(cnt > 1)
102 {
103 extractor<MeanFeature> mean;
104 result_type tmp = args[parameter::keyword<Tag>::get()] - mean(args);
105 this->variance =
106 numeric::fdiv(this->variance * (cnt - 1), cnt)
107 + numeric::fdiv(tmp * tmp, cnt - 1);
108 }
109 }
110
111 result_type result(dont_care) const
112 {
113 return this->variance;
114 }
115
116 private:
117 result_type variance;
118 };
119
120 } // namespace impl
121
122 ///////////////////////////////////////////////////////////////////////////////
123 // tag::variance
124 // tag::immediate_variance
125 //
126 namespace tag
127 {
128 struct lazy_variance
129 : depends_on<moment<2>, mean>
130 {
131 /// INTERNAL ONLY
132 ///
133 typedef accumulators::impl::lazy_variance_impl<mpl::_1, mean> impl;
134 };
135
136 struct variance
137 : depends_on<count, immediate_mean>
138 {
139 /// INTERNAL ONLY
140 ///
141 typedef accumulators::impl::variance_impl<mpl::_1, mean, sample> impl;
142 };
143 }
144
145 ///////////////////////////////////////////////////////////////////////////////
146 // extract::lazy_variance
147 // extract::variance
148 //
149 namespace extract
150 {
151 extractor<tag::lazy_variance> const lazy_variance = {};
152 extractor<tag::variance> const variance = {};
153
154 BOOST_ACCUMULATORS_IGNORE_GLOBAL(lazy_variance)
155 BOOST_ACCUMULATORS_IGNORE_GLOBAL(variance)
156 }
157
158 using extract::lazy_variance;
159 using extract::variance;
160
161 // variance(lazy) -> lazy_variance
162 template<>
163 struct as_feature<tag::variance(lazy)>
164 {
165 typedef tag::lazy_variance type;
166 };
167
168 // variance(immediate) -> variance
169 template<>
170 struct as_feature<tag::variance(immediate)>
171 {
172 typedef tag::variance type;
173 };
174
175 // for the purposes of feature-based dependency resolution,
176 // immediate_variance provides the same feature as variance
177 template<>
178 struct feature_of<tag::lazy_variance>
179 : feature_of<tag::variance>
180 {
181 };
182
183 // So that variance can be automatically substituted with
184 // weighted_variance when the weight parameter is non-void.
185 template<>
186 struct as_weighted_feature<tag::variance>
187 {
188 typedef tag::weighted_variance type;
189 };
190
191 // for the purposes of feature-based dependency resolution,
192 // weighted_variance provides the same feature as variance
193 template<>
194 struct feature_of<tag::weighted_variance>
195 : feature_of<tag::variance>
196 {
197 };
198
199 // So that immediate_variance can be automatically substituted with
200 // immediate_weighted_variance when the weight parameter is non-void.
201 template<>
202 struct as_weighted_feature<tag::lazy_variance>
203 {
204 typedef tag::lazy_weighted_variance type;
205 };
206
207 // for the purposes of feature-based dependency resolution,
208 // immediate_weighted_variance provides the same feature as immediate_variance
209 template<>
210 struct feature_of<tag::lazy_weighted_variance>
211 : feature_of<tag::lazy_variance>
212 {
213 };
214
215 ////////////////////////////////////////////////////////////////////////////
216 //// droppable_accumulator<variance_impl>
217 //// need to specialize droppable lazy variance to cache the result at the
218 //// point the accumulator is dropped.
219 ///// INTERNAL ONLY
220 /////
221 //template<typename Sample, typename MeanFeature>
222 //struct droppable_accumulator<impl::variance_impl<Sample, MeanFeature> >
223 // : droppable_accumulator_base<
224 // with_cached_result<impl::variance_impl<Sample, MeanFeature> >
225 // >
226 //{
227 // template<typename Args>
228 // droppable_accumulator(Args const &args)
229 // : droppable_accumulator::base(args)
230 // {
231 // }
232 //};
233
234 }} // namespace boost::accumulators
235
236 #endif