Added boost header
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186
test/external/boost/accumulators/statistics/weighted_variance.hpp
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186
test/external/boost/accumulators/statistics/weighted_variance.hpp
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///////////////////////////////////////////////////////////////////////////////
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// weighted_variance.hpp
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//
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// Copyright 2005 Daniel Egloff, Eric Niebler. Distributed under the Boost
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// Software License, Version 1.0. (See accompanying file
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// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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#ifndef BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
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#define BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
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#include <boost/mpl/placeholders.hpp>
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#include <boost/accumulators/framework/accumulator_base.hpp>
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#include <boost/accumulators/framework/extractor.hpp>
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#include <boost/accumulators/numeric/functional.hpp>
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#include <boost/accumulators/framework/parameters/sample.hpp>
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#include <boost/accumulators/framework/depends_on.hpp>
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#include <boost/accumulators/statistics_fwd.hpp>
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#include <boost/accumulators/statistics/count.hpp>
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#include <boost/accumulators/statistics/variance.hpp>
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#include <boost/accumulators/statistics/weighted_sum.hpp>
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#include <boost/accumulators/statistics/weighted_mean.hpp>
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#include <boost/accumulators/statistics/weighted_moment.hpp>
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namespace boost { namespace accumulators
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{
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namespace impl
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{
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//! Lazy calculation of variance of weighted samples.
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/*!
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The default implementation of the variance of weighted samples is based on the second moment
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\f$\widehat{m}_n^{(2)}\f$ (weighted_moment<2>) and the mean\f$ \hat{\mu}_n\f$ (weighted_mean):
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\f[
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\hat{\sigma}_n^2 = \widehat{m}_n^{(2)}-\hat{\mu}_n^2,
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\f]
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where \f$n\f$ is the number of samples.
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*/
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template<typename Sample, typename Weight, typename MeanFeature>
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struct lazy_weighted_variance_impl
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: accumulator_base
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{
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typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
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// for boost::result_of
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typedef typename numeric::functional::average<weighted_sample, Weight>::result_type result_type;
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lazy_weighted_variance_impl(dont_care) {}
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template<typename Args>
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result_type result(Args const &args) const
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{
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extractor<MeanFeature> const some_mean = {};
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result_type tmp = some_mean(args);
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return accumulators::weighted_moment<2>(args) - tmp * tmp;
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}
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};
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//! Iterative calculation of variance of weighted samples.
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/*!
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Iterative calculation of variance of weighted samples:
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\f[
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\hat{\sigma}_n^2 =
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\frac{\bar{w}_n - w_n}{\bar{w}_n}\hat{\sigma}_{n - 1}^2
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+ \frac{w_n}{\bar{w}_n - w_n}\left(X_n - \hat{\mu}_n\right)^2
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,\quad n\ge2,\quad\hat{\sigma}_0^2 = 0.
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\f]
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where \f$\bar{w}_n\f$ is the sum of the \f$n\f$ weights \f$w_i\f$ and \f$\hat{\mu}_n\f$
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the estimate of the mean of the weighted smaples. Note that the sample variance is not defined for
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\f$n <= 1\f$.
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*/
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template<typename Sample, typename Weight, typename MeanFeature, typename Tag>
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struct weighted_variance_impl
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: accumulator_base
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{
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typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
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// for boost::result_of
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typedef typename numeric::functional::average<weighted_sample, Weight>::result_type result_type;
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template<typename Args>
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weighted_variance_impl(Args const &args)
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: weighted_variance(numeric::average(args[sample | Sample()], numeric::one<Weight>::value))
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{
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}
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template<typename Args>
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void operator ()(Args const &args)
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{
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std::size_t cnt = count(args);
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if(cnt > 1)
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{
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extractor<MeanFeature> const some_mean = {};
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result_type tmp = args[parameter::keyword<Tag>::get()] - some_mean(args);
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this->weighted_variance =
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numeric::average(this->weighted_variance * (sum_of_weights(args) - args[weight]), sum_of_weights(args))
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+ numeric::average(tmp * tmp * args[weight], sum_of_weights(args) - args[weight] );
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}
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}
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result_type result(dont_care) const
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{
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return this->weighted_variance;
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}
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private:
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result_type weighted_variance;
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};
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} // namespace impl
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///////////////////////////////////////////////////////////////////////////////
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// tag::weighted_variance
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// tag::immediate_weighted_variance
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//
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namespace tag
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{
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struct lazy_weighted_variance
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: depends_on<weighted_moment<2>, weighted_mean>
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{
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/// INTERNAL ONLY
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///
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typedef accumulators::impl::lazy_weighted_variance_impl<mpl::_1, mpl::_2, weighted_mean> impl;
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};
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struct weighted_variance
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: depends_on<count, immediate_weighted_mean>
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{
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/// INTERNAL ONLY
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///
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typedef accumulators::impl::weighted_variance_impl<mpl::_1, mpl::_2, immediate_weighted_mean, sample> impl;
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};
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}
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///////////////////////////////////////////////////////////////////////////////
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// extract::weighted_variance
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// extract::immediate_weighted_variance
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//
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namespace extract
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{
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extractor<tag::lazy_weighted_variance> const lazy_weighted_variance = {};
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extractor<tag::weighted_variance> const weighted_variance = {};
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BOOST_ACCUMULATORS_IGNORE_GLOBAL(lazy_weighted_variance)
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BOOST_ACCUMULATORS_IGNORE_GLOBAL(weighted_variance)
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}
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using extract::lazy_weighted_variance;
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using extract::weighted_variance;
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// weighted_variance(lazy) -> lazy_weighted_variance
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template<>
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struct as_feature<tag::weighted_variance(lazy)>
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{
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typedef tag::lazy_weighted_variance type;
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};
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// weighted_variance(immediate) -> weighted_variance
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template<>
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struct as_feature<tag::weighted_variance(immediate)>
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{
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typedef tag::weighted_variance type;
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};
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////////////////////////////////////////////////////////////////////////////
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//// droppable_accumulator<weighted_variance_impl>
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//// need to specialize droppable lazy weighted_variance to cache the result at the
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//// point the accumulator is dropped.
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///// INTERNAL ONLY
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/////
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//template<typename Sample, typename Weight, typename MeanFeature>
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//struct droppable_accumulator<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
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// : droppable_accumulator_base<
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// with_cached_result<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
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// >
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//{
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// template<typename Args>
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// droppable_accumulator(Args const &args)
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// : droppable_accumulator::base(args)
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// {
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// }
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//};
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}} // namespace boost::accumulators
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#endif
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