metrics_as_scores package
Subpackages
- metrics_as_scores.cli package
- Submodules
- metrics_as_scores.cli.BundleOwn module
- metrics_as_scores.cli.Cli module
- metrics_as_scores.cli.CreateDataset module
CreateDatasetWorkflow
CreateDatasetWorkflow.__init__()
CreateDatasetWorkflow.dataset_dir
CreateDatasetWorkflow.fits_dir
CreateDatasetWorkflow.densities_dir
CreateDatasetWorkflow.tests_dir
CreateDatasetWorkflow.web_dir
CreateDatasetWorkflow.path_manifest
CreateDatasetWorkflow.path_df_data
CreateDatasetWorkflow.path_test_ANOVA
CreateDatasetWorkflow.path_test_KruskalWallis
CreateDatasetWorkflow.path_test_TukeyHSD
CreateDatasetWorkflow.path_test_ks2samp
CreateDatasetWorkflow.create_own()
- metrics_as_scores.cli.Download module
- metrics_as_scores.cli.FitParametric module
- metrics_as_scores.cli.GenerateDensities 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.cli.helpers module
- Module contents
- metrics_as_scores.data package
- metrics_as_scores.distribution package
- Submodules
- metrics_as_scores.distribution.distribution module
DistTransform
JsonDataset
LocalDataset
KnownDataset
Density
KDE_integrate
KDE_approx
Empirical
Empirical_discrete
Parametric
Parametric_discrete
Dataset
Dataset.__init__()
Dataset.quantity_types
Dataset.contexts()
Dataset.ideal_values
Dataset.is_qtype_discrete()
Dataset.qytpe_desc()
Dataset.context_desc()
Dataset.quantity_types_continuous
Dataset.quantity_types_discrete
Dataset.data()
Dataset.num_observations()
Dataset.has_sufficient_observations()
Dataset.transform()
Dataset.analyze_groups()
Dataset.analyze_TukeyHSD()
Dataset.analyze_distr()
- metrics_as_scores.distribution.fitting module
- metrics_as_scores.distribution.fitting_problems module
MixedVariableDistributionFittingProblem
Fit_bernoulli_gen
Fit_betabinom_gen
Fit_binom_gen
Fit_boltzmann_gen
Fit_dlaplace_gen
Fit_geom_gen
Fit_hypergeom_gen
Fit_logser_gen
Fit_nbinom_gen
Fit_nchypergeom_fisher_gen
Fit_nchypergeom_wallenius_gen
Fit_nhypergeom_gen
Fit_planck_gen
Fit_poisson_gen
Fit_randint_gen
Fit_skellam_gen
Fit_yulesimon_gen
Fit_zipf_gen
Fit_zipfian_gen
- Module contents
- metrics_as_scores.tools package
- metrics_as_scores.webapp package
Module contents
This is the core package of Metrics As Scores. All functionality is to be found in sub-packages and -modules. Metrics As Scores, currently, consists of only a single main package (this might change in the future).
- metrics_as_scores.DATASETS_DIR: Path
This is the directory that holds the downloaded and manually created datasets. This directory is in the project’s root if Metrics As Scores was cloned and the full project is present. Otherwise, when the Metrics As Scores is installed from PyPI as a package, we store downloaded and own datasets in the datasets-folder within the source. Have a look at
IS_MAS_LOCAL
.