experiments_integrations.rst

Framework Integration Experiments

The :mod:`hyperactive.experiment.integrations` module contains experiment classes for integration with machine learning frameworks.

These experiments provide seamless hyperparameter optimization for scikit-learn, sktime, skpro, PyTorch Lightning, and LightGBM models.

Scikit-Learn

Cross-validation experiments for scikit-learn estimators.

.. currentmodule:: hyperactive.experiment.integrations

.. autosummary::
    :toctree: auto_generated/
    :template: class.rst

    SklearnCvExperiment

Sktime - Time Series

Experiments for sktime time series models.

.. autosummary::
    :toctree: auto_generated/
    :template: class.rst

    SktimeClassificationExperiment
    SktimeForecastingExperiment

Skpro - Probabilistic Prediction

Experiments for skpro probabilistic regression models.

.. autosummary::
    :toctree: auto_generated/
    :template: class.rst

    SkproProbaRegExperiment

PyTorch Lightning

Experiments for PyTorch Lightning models.

.. autosummary::
    :toctree: auto_generated/
    :template: class.rst

    TorchExperiment

LightGBM

Cross-validation experiments for LightGBM estimators.

.. autosummary::
    :toctree: auto_generated/
    :template: class.rst

    LightGBMExperiment