Metadata-Version: 2.1
Name: costcla
Version: 0.6
Summary: costcla is a Python module for cost-sensitive machine learning (classification) 
Home-page: https://github.com/albahnsen/CostSensitiveClassification
Author: Alejandro CORREA BAHNSEN
Author-email: al.bahnsen@gmail.com
License: new BSD
Keywords: machine learning,classification,cost-sensitive
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Dist: scikit-learn (>=0.15.0b2)
Requires-Dist: pandas (>=0.14.0)
Requires-Dist: numpy (>=1.8.0)
Requires-Dist: pyea (>=0.2)

.. image:: https://badge.fury.io/py/costcla.svg  
.. image:: https://img.shields.io/badge/python-2.7-blue.svg  
.. image:: https://img.shields.io/badge/python-3.5-blue.svg  
.. image:: https://img.shields.io/badge/license-BSD-blue.svg  

.. image:: https://raw.githubusercontent.com/albahnsen/CostSensitiveClassification/master/logo.png

CostSensitiveClassification
===========================

costcla is a Python module for cost-sensitive machine learning (classification)
built on top of `Scikit-Learn <http://scikit-learn.org/stable/>`__, `SciPy <http://www.scipy.org/>`__
and distributed under the 3-Clause BSD license.

In particular, it provides:

1. A set of example-dependent cost-sensitive algorithms
2. Different reald-world example-dependent cost-sensitive datasets.

The project is part of the PhD research of `Alejandro Correa Bahnsen <http://albahnsen.com>`__.

Installation
============

You can install ``costcla`` with ``pip``::

    # pip install costcla

Documentation
=============

Documentation is available at 
http://albahnsen.github.com/CostSensitiveClassification

Tutorials are available at
http://albahnsen.github.io/CostSensitiveClassification/Tutorials.html


Development
=============

Source code is available at https://github.com/albahnsen/CostSensitiveClassification


