Index

A

abs_error_ft() (in module skpro.parametric.residuals) abs_error_pt() (in module skpro.parametric.residuals)

add() (skpro.workflow.table.table.Table method) all() (skpro.workflow.manager.models.ModelManager method)

B

BaggingRegressor (class in skpro.ensemble) BaggingRegressor.Distribution (class in skpro.ensemble) BaggingRegressor.ImplementsEnhancedInterface (class in skpro.ensemble)

BayesianVendorEstimator (class in skpro.base) BayesianVendorEstimator.Distribution (class in skpro.base) BayesianVendorEstimator.ImplementsEnhancedInterface (class in skpro.base) BayesianVendorInterface (class in skpro.base)

C

cdf() (skpro.base.BayesianVendorEstimator.Distribution method) (skpro.base.ProbabilisticEstimator.Distribution method) (skpro.base.VendorEstimator.Distribution method) (skpro.baselines.density.DensityBaseline.Distribution method) (skpro.density.DensityAdapter method) (skpro.density.EmpiricalDensityAdapter method) (skpro.density.KernelDensityAdapter method) (skpro.ensemble.BaggingRegressor.Distribution method) (skpro.parametric.parametric.ParametricEstimator.Distribution method)

clone() (skpro.workflow.base.Model method) (skpro.workflow.manager.data.DataManager method) Constant (class in skpro.parametric.estimators) Controller (class in skpro.workflow.base) cross_val_score() (in module skpro.model_selection) CrossValidationController (class in skpro.workflow.cross_validation) CrossValidationView (class in skpro.workflow.cross_validation) cv() (skpro.workflow.table.table.Table method)

D

data() (skpro.workflow.manager.data.DataManager method) DataManager (class in skpro.workflow.manager.data) DensityAdapter (class in skpro.density)

DensityBaseline (class in skpro.baselines.density) DensityBaseline.Distribution (class in skpro.baselines.density) DensityBaseline.ImplementsEnhancedInterface (class in skpro.baselines.density) description() (skpro.workflow.cross_validation.CrossValidationController method)

E

ecdf() (in module skpro.density) EmpiricalDensityAdapter (class in skpro.density)

ensure_existence() (in module skpro.utils) EstimatorManager (class in skpro.parametric.parametric) estimators_samples_ (skpro.ensemble.BaggingRegressor attribute)

F

filter_modifier() (in module skpro.workflow.table.table) fit() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.estimators.Constant method) (skpro.parametric.estimators.Minimum method) (skpro.parametric.parametric.EstimatorManager method) (skpro.parametric.parametric.ParametricEstimator method) (skpro.parametric.residuals.ResidualEstimator method)

G

get() (skpro.parametric.parametric.EstimatorManager method) get_params() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.density.DensityAdapter method) (skpro.density.EmpiricalDensityAdapter method) (skpro.density.KernelDensityAdapter method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.estimators.Constant method) (skpro.parametric.estimators.Minimum method) (skpro.parametric.parametric.ParametricEstimator method) (skpro.parametric.residuals.ResidualEstimator method)

gneiting_loss() (in module skpro.metrics) grid_optimizer() (in module skpro.workflow.cross_validation) group() (skpro.workflow.manager.models.ModelManager method)

I

identifier() (skpro.workflow.base.Controller method) (skpro.workflow.base.Model method) (skpro.workflow.cross_validation.CrossValidationController method) (skpro.workflow.utils.InfoController method) identity() (in module skpro.parametric.residuals)

IdModifier (class in skpro.workflow.table.table) info() (skpro.workflow.manager.models.ModelManager method) (skpro.workflow.table.table.Table method) InfoController (class in skpro.workflow.utils) InfoView (class in skpro.workflow.utils) ItemView (class in skpro.workflow.utils)

K

KernelDensityAdapter (class in skpro.density)

L

linearized_log_loss() (in module skpro.metrics) load_file() (in module skpro.workflow.manager.data) load_url() (in module skpro.workflow.manager.data) log_error_ft() (in module skpro.parametric.residuals) log_error_pt() (in module skpro.parametric.residuals) log_loss() (in module skpro.metrics)

lp2 (skpro.base.BayesianVendorEstimator.Distribution attribute) (skpro.base.ProbabilisticEstimator.Distribution attribute) (skpro.base.VendorEstimator.Distribution attribute) (skpro.baselines.density.DensityBaseline.Distribution attribute) (skpro.ensemble.BaggingRegressor.Distribution attribute) (skpro.parametric.parametric.ParametricEstimator.Distribution attribute)

M

make_scorer() (in module skpro.metrics) mean() (skpro.base.BayesianVendorEstimator.Distribution method) (skpro.base.ProbabilisticEstimator.Distribution method) (skpro.base.VendorEstimator.Distribution method) (skpro.baselines.density.DensityBaseline.Distribution method) (skpro.ensemble.BaggingRegressor.Distribution method) (skpro.parametric.parametric.ParametricEstimator.Distribution method) Minimum (class in skpro.parametric.estimators) Model (class in skpro.workflow.base) ModelManager (class in skpro.workflow.manager.models) Modifier (class in skpro.workflow.table.table)

modify() (skpro.workflow.table.table.IdModifier method) (skpro.workflow.table.table.Modifier method) (skpro.workflow.table.table.RankModifier method) (skpro.workflow.table.table.SortModifier method) (skpro.workflow.table.table.Table method) mro() (skpro.base.BayesianVendorEstimator.ImplementsEnhancedInterface method) (skpro.base.ProbabilisticEstimator.ImplementsEnhancedInterface method) (skpro.base.VendorEstimator.ImplementsEnhancedInterface method) (skpro.baselines.density.DensityBaseline.ImplementsEnhancedInterface method) (skpro.ensemble.BaggingRegressor.ImplementsEnhancedInterface method) (skpro.parametric.parametric.ParametricEstimator.ImplementsEnhancedInterface method)

N

name() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.parametric.ParametricEstimator method)

not_existing() (in module skpro.utils)

O

on_fit() (skpro.base.BayesianVendorInterface method) (skpro.base.VendorInterface method) (skpro.vendors.pymc.PymcInterface method)

on_predict() (skpro.base.BayesianVendorInterface method) (skpro.base.VendorInterface method) (skpro.vendors.pymc.PymcInterface method)

P

ParametricEstimator (class in skpro.parametric.parametric) ParametricEstimator.Distribution (class in skpro.parametric.parametric) ParametricEstimator.ImplementsEnhancedInterface (class in skpro.parametric.parametric) parse() (skpro.workflow.base.View method) (skpro.workflow.cross_validation.CrossValidationView method) (skpro.workflow.utils.InfoView method) (skpro.workflow.utils.ItemView method) (skpro.workflow.utils.RawView method) pdf() (skpro.base.BayesianVendorEstimator.Distribution method) (skpro.base.ProbabilisticEstimator.Distribution method) (skpro.base.VendorEstimator.Distribution method) (skpro.baselines.density.DensityBaseline.Distribution method) (skpro.density.DensityAdapter method) (skpro.density.EmpiricalDensityAdapter method) (skpro.density.KernelDensityAdapter method) (skpro.ensemble.BaggingRegressor.Distribution method) (skpro.parametric.parametric.ParametricEstimator.Distribution method) point (skpro.base.BayesianVendorEstimator.Distribution attribute) (skpro.base.ProbabilisticEstimator.Distribution attribute) (skpro.base.VendorEstimator.Distribution attribute) (skpro.baselines.density.DensityBaseline.Distribution attribute) (skpro.ensemble.BaggingRegressor.Distribution attribute) (skpro.parametric.parametric.ParametricEstimator.Distribution attribute)

ppf() (skpro.base.BayesianVendorEstimator.Distribution method) (skpro.base.ProbabilisticEstimator.Distribution method) (skpro.base.VendorEstimator.Distribution method) (skpro.baselines.density.DensityBaseline.Distribution method) (skpro.ensemble.BaggingRegressor.Distribution method) (skpro.parametric.parametric.ParametricEstimator.Distribution method) predict() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.estimators.Constant method) (skpro.parametric.estimators.Minimum method) (skpro.parametric.parametric.EstimatorManager method) (skpro.parametric.parametric.ParametricEstimator method) (skpro.parametric.residuals.ResidualEstimator method) print() (skpro.workflow.table.table.Table method) ProbabilisticEstimator (class in skpro.base) ProbabilisticEstimator.Distribution (class in skpro.base) ProbabilisticEstimator.ImplementsEnhancedInterface (class in skpro.base) PymcInterface (class in skpro.vendors.pymc)

R

random_optimizer() (in module skpro.workflow.cross_validation) rank_probability_loss() (in module skpro.metrics) RankModifier (class in skpro.workflow.table.table) RawView (class in skpro.workflow.utils) register() (skpro.base.BayesianVendorEstimator.ImplementsEnhancedInterface method) (skpro.base.ProbabilisticEstimator.ImplementsEnhancedInterface method) (skpro.base.VendorEstimator.ImplementsEnhancedInterface method) (skpro.baselines.density.DensityBaseline.ImplementsEnhancedInterface method) (skpro.ensemble.BaggingRegressor.ImplementsEnhancedInterface method) (skpro.parametric.parametric.EstimatorManager method) (skpro.parametric.parametric.ParametricEstimator.ImplementsEnhancedInterface method) (skpro.workflow.manager.models.ModelManager method)

render() (skpro.workflow.table.table.Table method) replicate() (skpro.base.BayesianVendorEstimator.Distribution method) (skpro.base.ProbabilisticEstimator.Distribution method) (skpro.base.VendorEstimator.Distribution method) (skpro.baselines.density.DensityBaseline.Distribution method) (skpro.ensemble.BaggingRegressor.Distribution method) (skpro.parametric.parametric.ParametricEstimator.Distribution method) ResidualEstimator (class in skpro.parametric.residuals) retrieve_data() (in module skpro.workflow.manager.data) RetrievesScores (class in skpro.model_selection) run() (skpro.workflow.base.Controller method) (skpro.workflow.cross_validation.CrossValidationController method) (skpro.workflow.utils.InfoController method)

S

sample_loss() (in module skpro.metrics) samples (skpro.base.BayesianVendorInterface attribute) samples() (skpro.vendors.pymc.PymcInterface method) score() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.parametric.ParametricEstimator method) set_params() (skpro.base.BayesianVendorEstimator method) (skpro.base.ProbabilisticEstimator method) (skpro.base.VendorEstimator method) (skpro.baselines.density.DensityBaseline method) (skpro.density.DensityAdapter method) (skpro.density.EmpiricalDensityAdapter method) (skpro.density.KernelDensityAdapter method) (skpro.ensemble.BaggingRegressor method) (skpro.parametric.estimators.Constant method) (skpro.parametric.estimators.Minimum method) (skpro.parametric.parametric.EstimatorManager method) (skpro.parametric.parametric.ParametricEstimator method) (skpro.parametric.residuals.ResidualEstimator method) shuffle() (skpro.workflow.manager.data.DataManager method) skpro (module) skpro.base (module) skpro.baselines (module) skpro.baselines.density (module) skpro.density (module)

skpro.ensemble (module) skpro.metrics (module) skpro.model_selection (module) skpro.parametric (module) skpro.parametric.estimators (module) skpro.parametric.parametric (module) skpro.parametric.residuals (module) skpro.utils (module) skpro.vendors (module) skpro.vendors.pymc (module) skpro.workflow (module) skpro.workflow.base (module) skpro.workflow.cross_validation (module) skpro.workflow.manager (module) skpro.workflow.manager.data (module) skpro.workflow.manager.models (module) skpro.workflow.table (module) skpro.workflow.table.table (module) skpro.workflow.utils (module) SortModifier (class in skpro.workflow.table.table) squared_error_ft() (in module skpro.parametric.residuals) squared_error_pt() (in module skpro.parametric.residuals) std (skpro.base.BayesianVendorEstimator.Distribution attribute) (skpro.base.ProbabilisticEstimator.Distribution attribute) (skpro.base.VendorEstimator.Distribution attribute) (skpro.baselines.density.DensityBaseline.Distribution attribute) (skpro.ensemble.BaggingRegressor.Distribution attribute) (skpro.parametric.parametric.ParametricEstimator.Distribution attribute) step_function() (in module skpro.density)

T

Table (class in skpro.workflow.table.table)

to_percent() (in module skpro.utils)

V

vectorvalued() (in module skpro.base) VendorEstimator (class in skpro.base) VendorEstimator.Distribution (class in skpro.base)

VendorEstimator.ImplementsEnhancedInterface (class in skpro.base) VendorInterface (class in skpro.base) View (class in skpro.workflow.base)

X

X (skpro.base.BayesianVendorEstimator.Distribution attribute) (skpro.base.ProbabilisticEstimator.Distribution attribute) (skpro.base.VendorEstimator.Distribution attribute) (skpro.baselines.density.DensityBaseline.Distribution attribute) (skpro.ensemble.BaggingRegressor.Distribution attribute) (skpro.parametric.parametric.ParametricEstimator.Distribution attribute) (skpro.workflow.manager.data.DataManager attribute)

X_test (skpro.workflow.manager.data.DataManager attribute) X_train (skpro.workflow.manager.data.DataManager attribute)

Y

y (skpro.workflow.manager.data.DataManager attribute)

y_test (skpro.workflow.manager.data.DataManager attribute) y_train (skpro.workflow.manager.data.DataManager attribute)