Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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example_plot_marginal.py File Reference

Go to the source code of this file.

Classes

class  example_plot_marginal.DistSpec
 

Namespaces

namespace  example_plot_marginal
 

Functions

LikelihoodMarginalConfig example_plot_marginal.make_likelihood_cfg ()
 
float example_plot_marginal._safe_float (x)
 
np.ndarray example_plot_marginal._grid_from_ppf (dist, lo=0.001, hi=0.999, n=600)
 
np.ndarray example_plot_marginal._pdf (dist, np.ndarray xs)
 
np.ndarray example_plot_marginal._cdf (dist, np.ndarray xs)
 
Tuple[np.ndarray, np.ndarray] example_plot_marginal._ecdf (np.ndarray samples)
 
None example_plot_marginal.plot_pdf_vs_samples (str name, dist, np.ndarray xs, np.ndarray samples, Optional[str] outpath=None)
 
None example_plot_marginal.plot_cdf_theory_vs_empirical (str name, dist, np.ndarray xs, np.ndarray samples, Optional[str] outpath=None)
 
None example_plot_marginal.plot_global_cdf_ppf_consistency (List[DistSpec] specs, int seed, Optional[str] outpath=None)
 
None example_plot_marginal.main (bool show=True, Optional[str] outdir="marginal_plots", int seed=123, int n_samples=3500)
 

Variables

 example_plot_marginal.show
 
 example_plot_marginal.True
 
 example_plot_marginal.outdir
 
 example_plot_marginal.seed
 
 example_plot_marginal.n_samples