Searched refs:lognormal (Results 1 – 20 of 20) sorted by relevance
/third_party/mindspore/tests/ut/python/nn/probability/distribution/ |
D | test_lognormal.py | 67 self.lognormal = msd.LogNormal(3.0, 4.0, dtype=dtype.float32) 70 prob = self.lognormal.prob(value) 71 log_prob = self.lognormal.log_prob(value) 72 cdf = self.lognormal.cdf(value) 73 log_cdf = self.lognormal.log_cdf(value) 74 sf = self.lognormal.survival_function(value) 75 log_sf = self.lognormal.log_survival(value) 94 self.lognormal = msd.LogNormal() 97 prob = self.lognormal.prob(value, mean, sd) 98 log_prob = self.lognormal.log_prob(value, mean, sd) [all …]
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/third_party/boost/libs/math/doc/distributions/ |
D | lognormal.qbk | 3 ``#include <boost/math/distributions/lognormal.hpp>`` 11 typedef lognormal_distribution<> lognormal; 28 The lognormal distribution is the distribution that arises 30 A lognormal distribution results when the variable is the product 56 Constructs a lognormal distribution with location /location/ and 85 The lognormal distribution is implemented in terms of the
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D | dist_algorithms.qbk | 7 Only applies to distributions like normal, lognormal, extreme value, Cauchy, (and symmetrical trian…
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D | dist_reference.qbk | 26 [include lognormal.qbk]
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/third_party/boost/libs/random/test/ |
D | test_lognormal.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME lognormal 18 #define BOOST_MATH_DISTRIBUTION boost::math::lognormal
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D | test_triangle.cpp | 17 #define BOOST_RANDOM_DISTRIBUTION_NAME lognormal
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D | statistic_tests.cpp | 502 boost::math::lognormal(std::log(1.0/std::sqrt(2.0)), std::sqrt(std::log(2.0)))); in main()
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/third_party/boost/libs/math/test/compile_test/ |
D | test_traits.cpp | 24 BOOST_STATIC_ASSERT(::boost::math::tools::is_distribution<lognormal>::value); 46 BOOST_STATIC_ASSERT(::boost::math::tools::is_scaled_distribution<lognormal>::value);
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D | dist_lognormal_incl_test.cpp | 18 TEST_DIST_FUNC(lognormal) in compile_and_link_test()
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D | instantiate.hpp | 145 function_requires<DistributionConcept<dist_test::lognormal > >(); in instantiate()
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/third_party/boost/libs/random/doc/ |
D | distribution_performance_windows.qbk | 15 [[lognormal][10.8472][13.6968][10.3563][13.7855]]
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D | distribution_performance_linux.qbk | 15 [[lognormal][6.15764][7.50188][5.68182][8.61326]]
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D | distributions.qbk | 84 [[__lognormal_distribution] [lognormal distribution (sometimes used in
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/third_party/boost/libs/math/reporting/performance/ |
D | test_distributions.cpp | 453 distribution_tester lognormal("LogNormal"); in main() local 454 lognormal.add_test_case(0, 1, two_param_quantile<boost::math::lognormal_distribution<> >()); in main() 455 lognormal.add_test_case(20, 20, two_param_quantile<boost::math::lognormal_distribution<> >()); in main() 456 …lognormal.add_test_case(-20, 0.0125, two_param_quantile<boost::math::lognormal_distribution<> >()); in main() 458 test_boost_2_param<boost::math::lognormal_distribution>(lognormal); in main() 580 …lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return gsl_cdf_lognormal_P… in main() 581 …lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return gsl_cdf_lognormal_P… in main() 674 …lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return dlnorm(x, v[0], v[1… in main() 675 …lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return plnorm(x, v[0], v[1… in main() 676 …lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return qlnorm(x, v[0], v[1… in main()
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/third_party/boost/boost/math/distributions/ |
D | fwd.hpp | 137 typedef boost::math::lognormal_distribution<Type, Policy> lognormal;\
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D | lognormal.hpp | 76 typedef lognormal_distribution<double> lognormal; typedef
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/third_party/boost/libs/math/test/ |
D | test_lognormal.cpp | 273 boost::math::lognormal myf1(1., 2); // Using typedef in BOOST_AUTO_TEST_CASE()
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/third_party/boost/libs/math/dot_net_example/distribution_explorer/ |
D | readme.txt | 30 * lognormal
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/third_party/python/Doc/library/ |
D | random.rst | 20 lognormal, negative exponential, gamma, and beta distributions. For generating
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/third_party/boost/libs/math/doc/background/ |
D | implementation.qbk | 398 lognormal, normal, Pareto, Student's t, triangular, uniform, and Weibull.]
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