Index

_

__call__() (metrics_as_scores.distribution.distribution.Density method) (metrics_as_scores.tools.funcs.Interpolator method) __init__() (metrics_as_scores.cli.BundleOwn.BundleDatasetWorkflow method) (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow method) (metrics_as_scores.cli.Download.DownloadWorkflow method) (metrics_as_scores.cli.FitParametric.FitParametricWorkflow method) (metrics_as_scores.cli.GenerateDensities.GenerateDensitiesWorkflow method) (metrics_as_scores.cli.KnownDatasets.KnownDatasetsWorkflow method) (metrics_as_scores.cli.LocalDatasets.LocalDatasetsWorkflow method) (metrics_as_scores.cli.LocalWebserver.LocalWebserverWorkflow method) (metrics_as_scores.cli.MainWorkflow.MainWorkflow method) (metrics_as_scores.cli.Workflow.Workflow method) (metrics_as_scores.distribution.distribution.Dataset method) (metrics_as_scores.distribution.distribution.Density method) (metrics_as_scores.distribution.distribution.Empirical method) (metrics_as_scores.distribution.distribution.Empirical_discrete method) (metrics_as_scores.distribution.distribution.KDE_approx method) (metrics_as_scores.distribution.distribution.KDE_integrate method) (metrics_as_scores.distribution.distribution.Parametric method) (metrics_as_scores.distribution.fitting.Fitter method) (metrics_as_scores.distribution.fitting.FitterPymoo method) (metrics_as_scores.distribution.fitting.SingleObjectiveTermination method) (metrics_as_scores.distribution.fitting.StatisticalTest method) (metrics_as_scores.distribution.fitting_problems.Fit_bernoulli_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_betabinom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_binom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_boltzmann_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_dlaplace_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_geom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_hypergeom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_logser_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_nbinom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_nchypergeom_fisher_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_nchypergeom_wallenius_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_nhypergeom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_planck_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_poisson_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_randint_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_skellam_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_yulesimon_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_zipf_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_zipfian_gen method) (metrics_as_scores.distribution.fitting_problems.MixedVariableDistributionFittingProblem method) (metrics_as_scores.tools.funcs.Interpolator method) (metrics_as_scores.tools.lazy.SelfResetLazy method) (metrics_as_scores.webapp.exception.PlotException method)

__iter__() (metrics_as_scores.distribution.fitting.StatisticalTest method) _evaluate() (metrics_as_scores.distribution.fitting_problems.Fit_hypergeom_gen method) (metrics_as_scores.distribution.fitting_problems.Fit_nchypergeom_fisher_gen method) (metrics_as_scores.distribution.fitting_problems.MixedVariableDistributionFittingProblem method) _min_max() (metrics_as_scores.distribution.distribution.Density method)

A

analyze_distr() (metrics_as_scores.distribution.distribution.Dataset method) analyze_groups() (metrics_as_scores.distribution.distribution.Dataset method) analyze_TukeyHSD() (metrics_as_scores.distribution.distribution.Dataset method) ask() (metrics_as_scores.cli.Workflow.Workflow method)

askt() (metrics_as_scores.cli.Workflow.Workflow method) author (metrics_as_scores.distribution.distribution.JsonDataset attribute) (metrics_as_scores.distribution.distribution.KnownDataset attribute) (metrics_as_scores.distribution.distribution.LocalDataset attribute)

B

bundle() (metrics_as_scores.cli.BundleOwn.BundleDatasetWorkflow method)

BundleDatasetWorkflow (class in metrics_as_scores.cli.BundleOwn)

C

cdf() (metrics_as_scores.distribution.distribution.Parametric method) cdf_to_ppf() (in module metrics_as_scores.tools.funcs) cdfs (in module metrics_as_scores.webapp.data) cli() (in module metrics_as_scores.cli.Cli) colname_context (metrics_as_scores.distribution.distribution.LocalDataset attribute) colname_data (metrics_as_scores.distribution.distribution.LocalDataset attribute) colname_type (metrics_as_scores.distribution.distribution.LocalDataset attribute) compute_practical_domain() (metrics_as_scores.distribution.distribution.Density method) (metrics_as_scores.distribution.distribution.Parametric method)

compute_practical_range_pdf() (metrics_as_scores.distribution.distribution.Density method) context (metrics_as_scores.data.pregenerate_fit.FitResult attribute) (metrics_as_scores.distribution.distribution.Density property) context_desc() (metrics_as_scores.distribution.distribution.Dataset method) contexts (metrics_as_scores.distribution.distribution.LocalDataset attribute) contexts() (metrics_as_scores.distribution.distribution.Dataset method) Continuous_RVs (in module metrics_as_scores.distribution.fitting) Continuous_RVs_dict (in module metrics_as_scores.data.pregenerate_fit) create_own() (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow method) CreateDatasetWorkflow (class in metrics_as_scores.cli.CreateDataset)

D

data() (metrics_as_scores.distribution.distribution.Dataset method) Dataset (class in metrics_as_scores.distribution.distribution) dataset_dir (in module metrics_as_scores.webapp.data) (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) DATASETS_DIR (in module metrics_as_scores) densities_dir (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) Density (class in metrics_as_scores.distribution.distribution) desc (metrics_as_scores.distribution.distribution.JsonDataset attribute) (metrics_as_scores.distribution.distribution.KnownDataset attribute) (metrics_as_scores.distribution.distribution.LocalDataset attribute) desc_contexts (metrics_as_scores.distribution.distribution.LocalDataset attribute) desc_qtypes (metrics_as_scores.distribution.distribution.LocalDataset attribute) DesignSpaceTerminationFixed (class in metrics_as_scores.distribution.fitting)

discrete_data1 (metrics_as_scores.distribution.fitting.StatisticalTestJson attribute) discrete_data2 (metrics_as_scores.distribution.fitting.StatisticalTestJson attribute) Discrete_Problems (in module metrics_as_scores.distribution.fitting) Discrete_RVs (in module metrics_as_scores.distribution.fitting) Discrete_RVs_dict (in module metrics_as_scores.data.pregenerate_fit) dist_name (metrics_as_scores.distribution.distribution.Parametric property) dist_transform (metrics_as_scores.data.pregenerate_fit.FitResult attribute) (metrics_as_scores.distribution.distribution.Density property) DistTransform (class in metrics_as_scores.distribution.distribution) DOESNT_EXIST (metrics_as_scores.cli.helpers.PathStatus attribute) download (metrics_as_scores.distribution.distribution.KnownDataset attribute) download() (metrics_as_scores.cli.Download.DownloadWorkflow method) DownloadWorkflow (class in metrics_as_scores.cli.Download) ds (in module metrics_as_scores.webapp.data)

E

Empirical (class in metrics_as_scores.distribution.distribution)

Empirical_discrete (class in metrics_as_scores.distribution.distribution) EXPECTATION (metrics_as_scores.distribution.distribution.DistTransform attribute)

F

fit() (in module metrics_as_scores.data.pregenerate_fit) (metrics_as_scores.distribution.fitting.Fitter method) (metrics_as_scores.distribution.fitting.FitterPymoo method) Fit_bernoulli_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_betabinom_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_binom_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_boltzmann_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_dlaplace_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_geom_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_hypergeom_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_logser_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_nbinom_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_nchypergeom_fisher_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_nchypergeom_wallenius_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_nhypergeom_gen (class in metrics_as_scores.distribution.fitting_problems) fit_parametric() (metrics_as_scores.cli.FitParametric.FitParametricWorkflow method)

Fit_planck_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_poisson_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_randint_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_skellam_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_yulesimon_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_zipf_gen (class in metrics_as_scores.distribution.fitting_problems) Fit_zipfian_gen (class in metrics_as_scores.distribution.fitting_problems) FitParametricWorkflow (class in metrics_as_scores.cli.FitParametric) FitResult (class in metrics_as_scores.data.pregenerate_fit) fits_dir (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) fits_to_MAS_densities() (in module metrics_as_scores.data.pregenerate) Fitter (class in metrics_as_scores.distribution.fitting) FitterPymoo (class in metrics_as_scores.distribution.fitting) flatten_dict() (in module metrics_as_scores.tools.funcs) format_file_size() (in module metrics_as_scores.cli.helpers) from_dict() (metrics_as_scores.distribution.fitting.StatisticalTest static method)

G

generate_densities() (in module metrics_as_scores.data.pregenerate) generate_empirical() (in module metrics_as_scores.data.pregenerate) generate_empirical_discrete() (in module metrics_as_scores.data.pregenerate) generate_parametric() (in module metrics_as_scores.data.pregenerate) generate_parametric_fits() (in module metrics_as_scores.data.pregenerate_distns)

GenerateDensitiesWorkflow (class in metrics_as_scores.cli.GenerateDensities) get_data_tuple() (in module metrics_as_scores.data.pregenerate_fit) get_known_datasets() (in module metrics_as_scores.cli.helpers) get_local_datasets() (in module metrics_as_scores.cli.helpers) grid_idx (metrics_as_scores.data.pregenerate_fit.FitResult attribute)

H

has_sufficient_observations() (metrics_as_scores.distribution.distribution.Dataset method)

has_value (metrics_as_scores.tools.lazy.SelfResetLazy property) has_value_volatile (metrics_as_scores.tools.lazy.SelfResetLazy property)

I

id (metrics_as_scores.distribution.distribution.JsonDataset attribute) (metrics_as_scores.distribution.distribution.KnownDataset attribute) (metrics_as_scores.distribution.distribution.LocalDataset attribute) ideal_value (metrics_as_scores.distribution.distribution.Density property) ideal_values (metrics_as_scores.distribution.distribution.Dataset property) (metrics_as_scores.distribution.distribution.LocalDataset attribute) INFIMUM (metrics_as_scores.distribution.distribution.DistTransform attribute) info_url (metrics_as_scores.distribution.distribution.KnownDataset attribute)

init_ppf() (metrics_as_scores.distribution.distribution.KDE_integrate method) Interpolator (class in metrics_as_scores.tools.funcs) is_continuous (metrics_as_scores.distribution.fitting.Fitter property) is_discrete (metrics_as_scores.distribution.fitting.Fitter property) is_fit (metrics_as_scores.distribution.distribution.Empirical_discrete property) (metrics_as_scores.distribution.distribution.Parametric property) is_qtype_discrete() (metrics_as_scores.distribution.distribution.Dataset method) isint() (in module metrics_as_scores.cli.helpers) isnumeric() (in module metrics_as_scores.cli.helpers)

J

JsonDataset (class in metrics_as_scores.distribution.distribution)

K

KDE_approx (class in metrics_as_scores.distribution.distribution) KDE_integrate (class in metrics_as_scores.distribution.distribution)

KNOWN_DATASETS_FILE (in module metrics_as_scores.cli.helpers) KnownDataset (class in metrics_as_scores.distribution.distribution) KnownDatasetsWorkflow (class in metrics_as_scores.cli.KnownDatasets)

L

LocalDataset (class in metrics_as_scores.distribution.distribution)

LocalDatasetsWorkflow (class in metrics_as_scores.cli.LocalDatasets) LocalWebserverWorkflow (class in metrics_as_scores.cli.LocalWebserver)

M

main_menu() (metrics_as_scores.cli.MainWorkflow.MainWorkflow method) MainWorkflow (class in metrics_as_scores.cli.MainWorkflow) MEDIAN (metrics_as_scores.distribution.distribution.DistTransform attribute) metrics_as_scores module metrics_as_scores.cli module metrics_as_scores.cli.BundleOwn module metrics_as_scores.cli.Cli module metrics_as_scores.cli.CreateDataset module metrics_as_scores.cli.Download module metrics_as_scores.cli.FitParametric module metrics_as_scores.cli.GenerateDensities module metrics_as_scores.cli.helpers module metrics_as_scores.cli.KnownDatasets module metrics_as_scores.cli.LocalDatasets module metrics_as_scores.cli.LocalWebserver module metrics_as_scores.cli.MainWorkflow module metrics_as_scores.cli.Workflow module metrics_as_scores.data module metrics_as_scores.data.pregenerate module metrics_as_scores.data.pregenerate_distns module metrics_as_scores.data.pregenerate_fit module metrics_as_scores.distribution module metrics_as_scores.distribution.distribution module metrics_as_scores.distribution.fitting module metrics_as_scores.distribution.fitting_problems module metrics_as_scores.tools module

metrics_as_scores.tools.funcs module metrics_as_scores.tools.lazy module metrics_as_scores.webapp module metrics_as_scores.webapp.app_hooks module metrics_as_scores.webapp.data module metrics_as_scores.webapp.exception module metrics_as_scores.webapp.main module MixedVariableDistributionFittingProblem (class in metrics_as_scores.distribution.fitting_problems) MODE (metrics_as_scores.distribution.distribution.DistTransform attribute) module metrics_as_scores metrics_as_scores.cli metrics_as_scores.cli.BundleOwn metrics_as_scores.cli.Cli metrics_as_scores.cli.CreateDataset metrics_as_scores.cli.Download metrics_as_scores.cli.FitParametric metrics_as_scores.cli.GenerateDensities metrics_as_scores.cli.helpers metrics_as_scores.cli.KnownDatasets metrics_as_scores.cli.LocalDatasets metrics_as_scores.cli.LocalWebserver metrics_as_scores.cli.MainWorkflow metrics_as_scores.cli.Workflow metrics_as_scores.data metrics_as_scores.data.pregenerate metrics_as_scores.data.pregenerate_distns metrics_as_scores.data.pregenerate_fit metrics_as_scores.distribution metrics_as_scores.distribution.distribution metrics_as_scores.distribution.fitting metrics_as_scores.distribution.fitting_problems metrics_as_scores.tools metrics_as_scores.tools.funcs metrics_as_scores.tools.lazy metrics_as_scores.webapp metrics_as_scores.webapp.app_hooks metrics_as_scores.webapp.data metrics_as_scores.webapp.exception metrics_as_scores.webapp.main

N

name (metrics_as_scores.distribution.distribution.JsonDataset attribute) (metrics_as_scores.distribution.distribution.KnownDataset attribute) (metrics_as_scores.distribution.distribution.LocalDataset attribute) natsort() (in module metrics_as_scores.tools.funcs)

NONE (metrics_as_scores.distribution.distribution.DistTransform attribute) nonlinspace() (in module metrics_as_scores.tools.funcs) NOT_A_DIRECTORY (metrics_as_scores.cli.helpers.PathStatus attribute) NOT_A_FILE (metrics_as_scores.cli.helpers.PathStatus attribute) num_observations() (metrics_as_scores.distribution.distribution.Dataset method)

O

OK (metrics_as_scores.cli.helpers.PathStatus attribute)

on_server_loaded() (in module metrics_as_scores.webapp.app_hooks) origin (metrics_as_scores.distribution.distribution.LocalDataset attribute)

P

Parametric (class in metrics_as_scores.distribution.distribution) Parametric_discrete (class in metrics_as_scores.distribution.distribution) params (metrics_as_scores.data.pregenerate_fit.FitResult attribute) path_df_data (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) path_manifest (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) path_test_ANOVA (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) path_test_KruskalWallis (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) path_test_ks2samp (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) path_test_TukeyHSD (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) PathStatus (class in metrics_as_scores.cli.helpers) pdf() (metrics_as_scores.distribution.distribution.Parametric method) (metrics_as_scores.distribution.distribution.Parametric_discrete method) PlotException

pmf() (metrics_as_scores.distribution.distribution.Parametric_discrete method) ppf() (metrics_as_scores.distribution.distribution.Parametric method) practical_domain (metrics_as_scores.distribution.distribution.Density property) (metrics_as_scores.distribution.distribution.Parametric property) practical_range_pdf (metrics_as_scores.distribution.distribution.Density property) (metrics_as_scores.distribution.distribution.Parametric property) Practical_Ranges (metrics_as_scores.distribution.fitting.Fitter attribute) pre_generate() (metrics_as_scores.cli.GenerateDensities.GenerateDensitiesWorkflow method) print_info() (metrics_as_scores.cli.Workflow.Workflow method) print_welcome() (metrics_as_scores.cli.MainWorkflow.MainWorkflow method) pval (metrics_as_scores.distribution.distribution.KDE_approx property) (metrics_as_scores.distribution.distribution.Parametric property) (metrics_as_scores.distribution.fitting.TestJson attribute)

Q

qtype (metrics_as_scores.data.pregenerate_fit.FitResult attribute) (metrics_as_scores.distribution.distribution.Density property) qtypes (metrics_as_scores.distribution.distribution.LocalDataset attribute)

quantity_types (metrics_as_scores.distribution.distribution.Dataset property) quantity_types_continuous (metrics_as_scores.distribution.distribution.Dataset property) quantity_types_discrete (metrics_as_scores.distribution.distribution.Dataset property) qytpe_desc() (metrics_as_scores.distribution.distribution.Dataset method)

R

required_files_folders_local_dataset() (in module metrics_as_scores.cli.helpers)

reset_after (metrics_as_scores.tools.lazy.SelfResetLazy property) rv (metrics_as_scores.data.pregenerate_fit.FitResult attribute)

S

SelfResetLazy (class in metrics_as_scores.tools.lazy) show_datasets() (metrics_as_scores.cli.KnownDatasets.KnownDatasetsWorkflow method) (metrics_as_scores.cli.LocalDatasets.LocalDatasetsWorkflow method) SingleObjectiveTermination (class in metrics_as_scores.distribution.fitting) size (metrics_as_scores.distribution.distribution.KnownDataset attribute) size_extracted (metrics_as_scores.distribution.distribution.KnownDataset attribute) start_server() (metrics_as_scores.cli.LocalWebserver.LocalWebserverWorkflow method) start_server_internally() (metrics_as_scores.cli.LocalWebserver.LocalWebserverWorkflow method)

start_server_process() (metrics_as_scores.cli.LocalWebserver.LocalWebserverWorkflow method) stat (metrics_as_scores.distribution.distribution.KDE_approx property) (metrics_as_scores.distribution.distribution.Parametric property) (metrics_as_scores.distribution.fitting.TestJson attribute) stat_tests (metrics_as_scores.data.pregenerate_fit.FitResult attribute) StatisticalTest (class in metrics_as_scores.distribution.fitting) StatisticalTestJson (class in metrics_as_scores.distribution.fitting) SUPREMUM (metrics_as_scores.distribution.distribution.DistTransform attribute)

T

TestJson (class in metrics_as_scores.distribution.fitting) tests (metrics_as_scores.distribution.fitting.StatisticalTestJson attribute) tests_dir (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property) transform() (metrics_as_scores.distribution.distribution.Dataset static method)

transform_to_MAS_dataset() (in module metrics_as_scores.tools.funcs) transform_value (metrics_as_scores.data.pregenerate_fit.FitResult attribute) (metrics_as_scores.distribution.distribution.Density property) type (metrics_as_scores.data.pregenerate_fit.FitResult attribute)

U

unfitted() (metrics_as_scores.distribution.distribution.Empirical_discrete static method) (metrics_as_scores.distribution.distribution.Parametric static method) (metrics_as_scores.distribution.distribution.Parametric_discrete static method)

unset_value() (metrics_as_scores.tools.lazy.SelfResetLazy method) use_stat_test (metrics_as_scores.distribution.distribution.Parametric property)

V

validate_local_dataset_files() (in module metrics_as_scores.cli.helpers) value (metrics_as_scores.tools.lazy.SelfResetLazy property)

value_future (metrics_as_scores.tools.lazy.SelfResetLazy property) value_volatile (metrics_as_scores.tools.lazy.SelfResetLazy property)

W

web_dir (metrics_as_scores.cli.CreateDataset.CreateDatasetWorkflow property)

Workflow (class in metrics_as_scores.cli.Workflow)