imbal documentation
===================

Hello! Welcome to the imbal documentation.

imbal is a Tensorflow/Keras extension for machine learning

- Addresses issues related to imbalanced data
- Handles both classification (e.g. SEP/non-SEP) and regression (e.g. SEP intensity) tasks
- Handles both tabular and image data


:doc:`Installation guide </imbal/installation>`

Subpackages:

- :doc:`Metrics </imbal/metrics/metrics>`
- :doc:`Classification </imbal/classification/classification>`
- :doc:`Regression </imbal/regression/regression>`
- :doc:`Util </imbal/util/util>`

Information on incorporated tools:

- :doc:`t-SNE Model Explantation </imbal/tsne-explanation>`
- :doc:`LIME Prediction Explanation </imbal/lime-explanation>`
- :doc:`SHAP Prediction Explanation </imbal/shap-explanation>`

Code tutorials can be found :doc:`here </imbal/tutorials/tutorials>`

Contact us
------------------

For feedback or questions, please reach out to us through one of the following emails:

- tgalletta2022@my.fit.edu
- dacosta2022@my.fit.edu

.. toctree::
    :hidden:
    :maxdepth: 2
    :caption: Contents:

    /imbal/metrics/metrics
    /imbal/classification/classification
    /imbal/regression/regression
    /imbal/util/util
    /imbal/tutorials/tutorials