.. _distributions_ref: Probability distributions ========================= The :mod:`sktime.distributions` module contains probability distributions which combine a ``pandas.DataFrame``-like API with a ``scikit-base`` compatible object interface. All distributions in ``skpro`` can be listed using the ``skpro.registry.all_objects`` utility, using ``object_types="distribution"``, optionally filtered by tags. Valid tags can be listed using ``sktime.registry.all_tags``. Base ---- .. currentmodule:: skpro.distributions.base .. autosummary:: :toctree: auto_generated/ :template: class.rst BaseDistribution Parametric distributions ------------------------ Continuous support ~~~~~~~~~~~~~~~~~~ .. currentmodule:: skpro.distributions .. autosummary:: :toctree: auto_generated/ :template: class.rst Beta ChiSquared Fisk Laplace Logistic Normal TDistribution Weibull Integer support ~~~~~~~~~~~~~~~ .. currentmodule:: skpro.distributions .. autosummary:: :toctree: auto_generated/ :template: class.rst Poisson Non-parametric and empirical distributions ------------------------------------------ .. currentmodule:: skpro.distributions .. autosummary:: :toctree: auto_generated/ :template: class.rst Delta Empirical QPD_Empirical QPD_U QPD_S QPD_B Composite distributions ----------------------- .. currentmodule:: skpro.distributions .. autosummary:: :toctree: auto_generated/ :template: class.rst Mixture