Metadata-Version: 1.0
Name: hilearn
Version: 0.2.0
Summary: HiLearn: A small library of machine learning methods.
Home-page: https://github.com/huangyh09/hilearn
Author: Yuanhua Huang
Author-email: yuanhua@hku.hk
License: Apache-2.0
Description: HiLearn
        =======
        
        A small library of machine learning models and utility & plotting functions:
        
        1. a set of utility functions, e.g., wrap function for cross-validation on 
           regression and classification models
        
        2. a set of small models, e.g., mixture of linear regression model
        
        3. a set of plotting functions, e.g., `corr_plot`, `ROC_curve`, `PR_curve`
        
        
        How to install?
        ---------------
        
        Easy install with `pip` by `pip install hilearn` for released version or the 
        latest version on github (less stable though)
        
        .. code-block:: bash
        
          pip install -U git+https://github.com/huangyh09/hilearn
        
        If you don't have the root permission, add ``--user``.
        
        
        Documentation
        -------------
        
        See the documentation_ for how to use, e.g., `cross-validation`_ and 
        `plotting functions`_.
        
        .. _documentation: https://hilearn.readthedocs.io
        .. _`cross-validation`: https://hilearn.readthedocs.io/en/latest/cross_validation.html
        .. _`plotting functions`: https://hilearn.readthedocs.io/en/latest/plotting.html
        
Keywords: machine learning,data visualisation
Platform: UNKNOWN
