#################################### Welcome to problexity documentation! #################################### .. toctree:: :maxdepth: 2 :hidden: :caption: Getting Started quickstart .. toctree:: :maxdepth: 2 :hidden: :caption: Documentation class_imbalance_api correlation_api dimensionality_api feature_based_api geometry_api linearity_api neighborhood_api network_api smoothness_api complexity_calculator_api .. toctree:: :maxdepth: 2 :hidden: :caption: Other informations about cite .. image:: plots/radars.gif The ``problexity`` is a python library containing the implementation of metrics describing the complexity of the classification problem. The implementation was based on the publication of Lorena et al. You can read more about it in the User Guide. `Getting started `_ ------------------------------------ To use the `problexity` package, it will be absolutely useful to install it. Fortunately, it is available in the PyPI repository, so you may install it using `pip`:: pip install -U problexity You can also install the module cloned from Github using the setup.py file if you have a strange, but perhaps legitimate need:: git clone https://github.com/w4k2/problexity.git cd problexity make install `API Documentation `_ ------------------------------- Precise API description of all the classes and functions implemented in the module. See the `README `_ for more information.