Metadata-Version: 1.1
Name: malss
Version: 0.1.1
Summary: MALSS: MAchine Learning Support System
Home-page: https://github.com/canard0328/malss/
Author: Ryota KAMOSHIDA
Author-email: https://github.com/canard0328/malss/
License: MIT License: http://www.opensource.org/licenses/mit-license.php
Description: MAchine Learning Support System
        ###############################
        
        ``malss`` is a python module to facilitate system development using machine learning algorithms.
        
        .. image:: https://travis-ci.org/canard0328/malss.svg?branch=master
            :target: https://travis-ci.org/canard0328/malss
        
        Requirements
        ************
        
        These are external packages which you will need to install before installing malss.
        
        * python (>= 2.7, 3.x's are not supported)
        * numpy (>= 1.6.1)
        * scipy (>= 0.9)
        * scikit-learn (>= 0.14)
        * matplotlib (>= 1.3)
        * pandas (>= 0.13)
        * jinja2 (>= 2.7)
        
        **Windows**
        
        If there are no binary packages matching your Python version you might to try to install these dependencies from `Christoph Gohlke Unofficial Windows installers <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_.
        
        Installation
        ************
        ::
        
          pip install malss
        
        Example
        *******
        
        Classification::
        
          from malss import MALSS
          from sklearn.datasets import load_iris
          iris = load_iris()
          cls = MALSS(iris.data, iris.target, task='classification')
          cls.execute()
          cls.make_report('classification_result')
          cls.make_sample_code('classification_sample_code.py')
        
        Regression::
        
          from malss import MALSS
          from sklearn.datasets import load_boston
          boston = load_boston()
          cls = MALSS(boston.data, boston.target, task='regression')
          cls.execute()
          cls.make_report('regression_result')
          cls.make_sample_code('regression_sample_code.py')
        
Keywords: machine learning support system
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
