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/third_party/mindspore/tests/ut/python/nn/probability/distribution/
Dtest_lognormal.py67 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)
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/third_party/boost/libs/math/doc/distributions/
Dlognormal.qbk3 ``#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
Ddist_algorithms.qbk7 Only applies to distributions like normal, lognormal, extreme value, Cauchy, (and symmetrical trian…
Ddist_reference.qbk26 [include lognormal.qbk]
/third_party/boost/libs/random/test/
Dtest_lognormal.cpp17 #define BOOST_RANDOM_DISTRIBUTION_NAME lognormal
18 #define BOOST_MATH_DISTRIBUTION boost::math::lognormal
Dtest_triangle.cpp17 #define BOOST_RANDOM_DISTRIBUTION_NAME lognormal
Dstatistic_tests.cpp502 boost::math::lognormal(std::log(1.0/std::sqrt(2.0)), std::sqrt(std::log(2.0)))); in main()
/third_party/boost/libs/math/test/compile_test/
Dtest_traits.cpp24 BOOST_STATIC_ASSERT(::boost::math::tools::is_distribution<lognormal>::value);
46 BOOST_STATIC_ASSERT(::boost::math::tools::is_scaled_distribution<lognormal>::value);
Ddist_lognormal_incl_test.cpp18 TEST_DIST_FUNC(lognormal) in compile_and_link_test()
Dinstantiate.hpp145 function_requires<DistributionConcept<dist_test::lognormal > >(); in instantiate()
/third_party/boost/libs/random/doc/
Ddistribution_performance_windows.qbk15 [[lognormal][10.8472][13.6968][10.3563][13.7855]]
Ddistribution_performance_linux.qbk15 [[lognormal][6.15764][7.50188][5.68182][8.61326]]
Ddistributions.qbk84 [[__lognormal_distribution] [lognormal distribution (sometimes used in
/third_party/boost/libs/math/reporting/performance/
Dtest_distributions.cpp453 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()
456lognormal.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()
580lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return gsl_cdf_lognormal_P… in main()
581lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return gsl_cdf_lognormal_P… in main()
674lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return dlnorm(x, v[0], v[1… in main()
675lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return plnorm(x, v[0], v[1… in main()
676lognormal.run_timed_tests([](const std::vector<double>& v, double x) { return qlnorm(x, v[0], v[1… in main()
/third_party/boost/boost/math/distributions/
Dfwd.hpp137 typedef boost::math::lognormal_distribution<Type, Policy> lognormal;\
Dlognormal.hpp76 typedef lognormal_distribution<double> lognormal; typedef
/third_party/boost/libs/math/test/
Dtest_lognormal.cpp273 boost::math::lognormal myf1(1., 2); // Using typedef in BOOST_AUTO_TEST_CASE()
/third_party/boost/libs/math/dot_net_example/distribution_explorer/
Dreadme.txt30 * lognormal
/third_party/python/Doc/library/
Drandom.rst20 lognormal, negative exponential, gamma, and beta distributions. For generating
/third_party/boost/libs/math/doc/background/
Dimplementation.qbk398 lognormal, normal, Pareto, Student's t, triangular, uniform, and Weibull.]