/external/rust/crates/criterion/src/stats/ |
D | mod.rs | 42 pub fn confidence_interval(&self, confidence_level: A) -> (A, A) in confidence_interval() 50 assert!(confidence_level > _0 && confidence_level < _1); in confidence_interval() 56 percentiles.at(_50 * (_1 - confidence_level)), in confidence_interval() 57 percentiles.at(_50 * (_1 + confidence_level)), in confidence_interval()
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/external/catch2/include/internal/benchmark/detail/ |
D | catch_stats.hpp | 108 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument 113 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap() 129 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap() 132 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap() 144 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap() 155 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::…
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D | catch_stats.cpp | 178 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::… in analyse_samples() argument 195 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples() 209 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples()
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/external/rust/crates/criterion/src/ |
D | benchmark.rs | 18 pub confidence_level: f64, field 31 pub(crate) confidence_level: Option<f64>, field 45 confidence_level: None, in default() 61 confidence_level: self.confidence_level.unwrap_or(defaults.confidence_level), in to_complete() 203 pub fn confidence_level(mut self, cl: f64) -> Self { 209 self.config.confidence_level = Some(cl);
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D | estimate.rs | 30 pub confidence_level: f64, field 55 confidence_level: cl, in build_estimates() 83 confidence_level: cl, in build_change_estimates()
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D | connection.rs | 335 confidence_level: f64, field 346 confidence_level: other.confidence_level, in from()
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D | benchmark_group.rs | 182 pub fn confidence_level(&mut self, cl: f64) -> &mut Self { in confidence_level() method 188 self.partial_config.confidence_level = Some(cl); in confidence_level()
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D | lib.rs | 425 confidence_level: 0.95, in default() 601 pub fn confidence_level(mut self, cl: f64) -> Criterion<M> { in confidence_level() method 607 self.config.confidence_level = cl; in confidence_level() 808 …"Changes the default confidence level for this run. [default: {}]", self.config.confidence_level))) in configure_from_args() 1050 self.config.confidence_level = num_confidence_level; in configure_from_args()
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/external/rust/crates/criterion/src/analysis/ |
D | mod.rs | 273 let cl = config.confidence_level; in regression() 282 let (lb, ub) = distribution.confidence_interval(config.confidence_level); in regression() 289 confidence_level: cl, in regression() 310 let cl = config.confidence_level; in estimates()
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D | compare.rs | 115 let cl = config.confidence_level; in estimates()
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/external/rust/crates/criterion/src/plot/plotters_backend/ |
D | regression.rs | 19 slope_dist.confidence_interval(slope_estimate.confidence_interval.confidence_level); in regression_figure()
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/external/rust/crates/criterion/src/plot/gnuplot_backend/ |
D | regression.rs | 22 slope_dist.confidence_interval(slope_estimate.confidence_interval.confidence_level); in regression_figure()
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/external/rust/crates/criterion/src/html/ |
D | mod.rs | 353 typical_estimate.confidence_interval.confidence_level in measurement_complete()
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/external/catch2/single_include/catch2/ |
D | catch.hpp | 6993 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument 6998 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap() 7014 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap() 7017 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap() 7029 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap() 7040 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::… 7746 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::… in analyse_samples() argument 7763 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples() 7777 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples()
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/external/libabigail/tests/lib/ |
D | catch.hpp | 7025 …Estimate<double> bootstrap(double confidence_level, Iterator first, Iterator last, sample const& r… in bootstrap() argument 7030 if (n_samples == 1) return { point, point, point, confidence_level }; in bootstrap() 7046 if (prob_n == 0) return { point, point, point, confidence_level }; in bootstrap() 7049 double z1 = normal_quantile((1. - confidence_level) / 2.); in bootstrap() 7061 return { point, resample[lo], resample[hi], confidence_level }; in bootstrap() 7072 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::… 7797 …bootstrap_analysis analyse_samples(double confidence_level, int n_resamples, std::vector<double>::… in analyse_samples() argument 7814 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples() 7828 return bootstrap(confidence_level, first, last, resampled, f); in analyse_samples()
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