Light Labyrinth – Multipurpose Supervised Machine Learning Models

This package includes implementations of the Light Labyrinth models.

Easy-to-use Python API allows for training powerful machine learning models within only a few lines of code, while the highly-optimized core of the library written in C contributes to their high performance and efficiency.

Platforms

Unix, Windows

Authors

Krzysztof Więcław wutus@lightlabyrinth.org

Marcin Zakrzewski enkar@lightlabyrinth.org

"""
`Light Labyrinth` -- Multipurpose Supervised Machine Learning Models
====================================================================
-----------
**This package includes implementations of the Light Labyrinth models.**

Easy-to-use Python API allows for training powerful machine learning
models within only a few lines of code, while the highly-optimized
core of the library written in C contributes to their high performance 
and efficiency.

Platforms
---------
**Unix**, **Windows**

Authors
-------
**Krzysztof Więcław** <wutus@lightlabyrinth.org>

**Marcin Zakrzewski** <enkar@lightlabyrinth.org>
"""

try:
    from ._version import __version__
    __all__ = ["__version__"]
except ImportError:
    __all__ = []

Sub-modules

light_labyrinth.dim2

The light_labyrinth.dim2 module includes 2-dimensional Light Labyrinth models.

<!DOCTYPE svg PUBLIC …

light_labyrinth.dim3

The light_labyrinth.dim3 module includes 3-dimensional Light Labyrinth models …

light_labyrinth.ensemble

The light_labyrinth.ensemble module includes ensemble models built of random Light Labyrinth estimators. Such ensemble is referred to as `Random …

light_labyrinth.hyperparams

The light_labyrinth.hyperparams module includes all the necessary hyperparameter classes to build a custom Light Labyrinth model …

light_labyrinth.multioutput

The light_labyrinth.multioutput module includes Light Labyrinth models for multilabel classification, multioutput regression, and mixed output …

light_labyrinth.sklearn_wrappers

The light_labyrinth.sklearn_wrappers module includes wrapper classes which allow to treat Light Labyrinth models as Scikit-learn estimators.

light_labyrinth.utils

The light_labyrinth.utils module includes tools for controlling e.g. mid-learning progress reporting and verbosity level.