Index

A

add_available_properties() (tadkit.catalog.formalizers.PandasFormalizer method), [1] add_query_description() (tadkit.catalog.formalizers.PandasFormalizer method), [1]

ASYNCHRONOUS (tadkit.base.dataframe_type.DataFrameType attribute), [1] available_properties (tadkit.base.formalizer.Formalizer property), [1] (tadkit.catalog.formalizers.PandasFormalizer property), [1]

D

DataFrameType (class in tadkit.base.dataframe_type), [1]

default_query() (tadkit.base.formalizer.Formalizer method), [1] domain_mapper() (in module tadkit.utils.parameter_distributions)

F

fit() (tadkit.base.tadlearner.TADLearner method), [1], [2], [3] formalize() (tadkit.base.formalizer.Formalizer method), [1], [2], [3] (tadkit.catalog.formalizers.PandasFormalizer method), [1], [2], [3]

Formalizer (class in tadkit.base.formalizer), [1] from_text() (tadkit.base.dataframe_type.DataFrameType static method), [1]

G

get_space_set() (tadkit.catalog.formalizers.PandasFormalizer method), [1]

get_timestamps() (tadkit.catalog.formalizers.PandasFormalizer method), [1]

I

IsolationForestLearner (in module tadkit.catalog.learners), [1]

K

KernelDensityLearner (in module tadkit.catalog.learners), [1]

M

match_formalizer_learners() (in module tadkit.utils.match_formalizer_learners) module tadkit, [1] tadkit.base, [1] tadkit.base.dataframe_type, [1] tadkit.base.formalizer, [1] tadkit.base.tadlearner, [1] tadkit.base.typing, [1] tadkit.catalog, [1] tadkit.catalog.formalizers, [1] tadkit.catalog.learners, [1] tadkit.utils, [1] tadkit.utils.match_formalizer_learners tadkit.utils.parameter_distributions tadkit.utils.print_learner_catalog tadkit.utils.synthetic_ornstein_uhlenbeck tadkit.utils.tadlearner_factory, [1] tadkit.utils.widget, [1]

N

no_data_leakage() (tadkit.base.formalizer.Formalizer method), [1]

numerical_domain_mapper() (in module tadkit.utils.parameter_distributions)

P

PandasFormalizer (class in tadkit.catalog.formalizers), [1] param_distributions() (in module tadkit.utils.parameter_distributions) params_description (tadkit.base.tadlearner.TADLearner attribute), [1] (tadkit.catalog.learners.ScaledKernelDensityLearner attribute), [1]

predict() (tadkit.base.tadlearner.TADLearner method), [1], [2], [3] print_catalog_classes() (in module tadkit.utils.print_learner_catalog)

Q

query_description (tadkit.base.formalizer.Formalizer property), [1] (tadkit.catalog.formalizers.PandasFormalizer property), [1]

R

remove_available_properties() (tadkit.catalog.formalizers.PandasFormalizer method), [1]

required_properties (tadkit.base.tadlearner.TADLearner attribute), [1] (tadkit.catalog.learners.ScaledKernelDensityLearner attribute), [1]

S

ScaledKernelDensityLearner (class in tadkit.catalog.learners), [1] score_samples() (tadkit.base.tadlearner.TADLearner method), [1], [2], [3] set_score_request() (tadkit.catalog.learners.ScaledKernelDensityLearner method), [1]

steps (tadkit.catalog.learners.ScaledKernelDensityLearner attribute) SYNCHRONOUS (tadkit.base.dataframe_type.DataFrameType attribute), [1] synthetise_ornstein_uhlenbeck_data() (in module tadkit.utils.synthetic_ornstein_uhlenbeck)

T

tadkit module, [1] tadkit.base module, [1] tadkit.base.dataframe_type module, [1] tadkit.base.formalizer module, [1] tadkit.base.tadlearner module, [1] tadkit.base.typing module, [1] tadkit.catalog module, [1] tadkit.catalog.formalizers module, [1] tadkit.catalog.learners module, [1]

tadkit.utils module, [1] tadkit.utils.match_formalizer_learners module tadkit.utils.parameter_distributions module tadkit.utils.print_learner_catalog module tadkit.utils.synthetic_ornstein_uhlenbeck module tadkit.utils.tadlearner_factory module, [1] tadkit.utils.widget module, [1] TADLearner (class in tadkit.base.tadlearner), [1] tadlearner_factory() (in module tadkit.utils.tadlearner_factory), [1]