Metadata-Version: 1.1
Name: MLFeatureSelection
Version: 0.0.8.2
Summary: Features selection algorithm based on self selected algorithm, loss function and validation method
Home-page: https://github.com/duxuhao/Feature-Selection
Author: Xuhao(Peter) Du
Author-email: duxuhao88@gmail.com
License: MIT Licence
Description: MLFeatureSelection
        ==================
        
        |License: MIT| |PyPI version|
        
        General features selection based on certain machine learning algorithm
        and evaluation methods
        
        **Divesity, Flexible and Easy to use**
        
        More features selection method will be included in the future!
        
        Quick Installation
        ------------------
        
        .. code:: python
        
            pip3 install MLFeatureSelection
        
        Modulus in version 0.0.8.2
        --------------------------
        
        -  Modulus for selecting features based on greedy algorithm (from
           MLFeatureSelection import sequence\_selection)
        
        -  Modulus for removing features based on features importance (from
           MLFeatureSelection import importance\_selection)
        
        -  Modulus for removing features based on correlation coefficient (from
           MLFeatureSelection import coherence\_selection)
        
        -  Modulus for reading the features combination from log file (from
           MLFeatureSelection.tools import readlog)
        
        Modulus Usage
        -------------
        
        `Example <https://github.com/duxuhao/Feature-Selection/blob/master/Example>`__
        
        This features selection method achieved
        ---------------------------------------
        
        -  **1st** in Rong360
        
        -- https://github.com/duxuhao/rong360-season2
        
        -  **6th** in JData-2018
        
        -- https://github.com/duxuhao/JData-2018
        
        -  **12nd** in IJCAI-2018 1st round
        
        -- https://github.com/duxuhao/IJCAI-2018-2
        
        DEMO
        ----
        
        More examples are added in example folder include:
        
        -  Demo contain all modulus can be found here
           (`demo <https://github.com/duxuhao/Feature-Selection/blob/master/Demo.py>`__)
        
        -  Simple Titanic with 5-fold validation and evaluated by accuracy
           (`demo <https://github.com/duxuhao/Feature-Selection/tree/master/example/titanic>`__)
        
        -  Demo for S1, S2 score improvement in JData 2018 predict purchase time
           competition
           (`demo <https://github.com/duxuhao/Feature-Selection/tree/master/example/JData2018>`__)
        
        -  Demo for IJCAI 2018 CTR prediction
           (`demo <https://github.com/duxuhao/Feature-Selection/tree/master/example/IJCAI-2018>`__)
        
        Function Parameters
        -------------------
        
        `Parameters <https://github.com/duxuhao/Feature-Selection/blob/master/MLFeatureSelection>`__
        
        Algorithm details
        -----------------
        
        `Details <https://github.com/duxuhao/Feature-Selection/blob/master/Algorithms_Graphs>`__
        
        .. |License: MIT| image:: https://img.shields.io/badge/License-MIT-yellow.svg
           :target: https://opensource.org/licenses/MIT
        .. |PyPI version| image:: https://badge.fury.io/py/MLFeatureSelection.svg
           :target: https://pypi.org/project/MLFeatureSelection/
        
Keywords: pypi easy_install pip
Platform: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
