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
CreateDatasetWorkflowCreateDatasetWorkflow.__init__()CreateDatasetWorkflow.dataset_dirCreateDatasetWorkflow.fits_dirCreateDatasetWorkflow.densities_dirCreateDatasetWorkflow.tests_dirCreateDatasetWorkflow.web_dirCreateDatasetWorkflow.path_manifestCreateDatasetWorkflow.path_df_dataCreateDatasetWorkflow.path_test_ANOVACreateDatasetWorkflow.path_test_KruskalWallisCreateDatasetWorkflow.path_test_TukeyHSDCreateDatasetWorkflow.path_test_ks2sampCreateDatasetWorkflow.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
DistTransformJsonDatasetLocalDatasetKnownDatasetDensityKDE_integrateKDE_approxEmpiricalEmpirical_discreteParametricParametric_discreteDatasetDataset.__init__()Dataset.quantity_typesDataset.contexts()Dataset.ideal_valuesDataset.is_qtype_discrete()Dataset.qytpe_desc()Dataset.context_desc()Dataset.quantity_types_continuousDataset.quantity_types_discreteDataset.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
MixedVariableDistributionFittingProblemFit_bernoulli_genFit_betabinom_genFit_binom_genFit_boltzmann_genFit_dlaplace_genFit_geom_genFit_hypergeom_genFit_logser_genFit_nbinom_genFit_nchypergeom_fisher_genFit_nchypergeom_wallenius_genFit_nhypergeom_genFit_planck_genFit_poisson_genFit_randint_genFit_skellam_genFit_yulesimon_genFit_zipf_genFit_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.