Metadata-Version: 1.0
Name: hilearn
Version: 0.1.1
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 methods. As most of them are often used (by myself), they are standardized and collected here.
        
        
        What's inside?
        ---------------
        
        * a wrap of cross-validation for regression and classification models.
        
        * a mixture of linear regression model
        
        * a plot function to show correlation between a pair of data (for regression)
        
        * a plot function to show ROC curve with AUC score (for classification)
        
        * a few plot functions, e.g., set colors, group boxplots, venn3 plots.
        
        
        How to install?
        ---------------
        
        Download the codes from this github repository and then run the following command line:
        
        ::
        
            python setup.py install
        
        If you don't have the root permission, add ``--user``.
        
        
        Tutorial and Gallery
        --------------------
        
        See the tutorial_ for how to use, e.g., `cross-validation functions and plots`_ and `hilearn plot`_.
        
        
        .. _tutorial: https://github.com/huangyh09/hilearn/tree/master/tutorial
        
        .. _`cross-validation functions and plots`: https://github.com/huangyh09/hilearn/blob/master/tutorial/tutorial_cross-validation.rst
        
        .. _`hilearn plot`: https://github.com/huangyh09/hilearn/blob/master/tutorial/tutorial_plots.rst
        
Keywords: machine learning,data visualisation
Platform: UNKNOWN
