FeatureSelectionWithCustumAlgorithm

Feature Selection with multiple classifier

the first column is the class and the rest of the columns are the data in the cvs file

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

Numpy
Pandas 
sklearn
copy

Installing

git clone https://github.com/cpp-neuro/FeatureSelectionWithCustumAlgorithm.git

the name of the csv file is pass into the featureSelection constructor

python FeatureSelection.py

Running the tests

There are examples in the main. it works with sklearn library. you define the model then feature selection is run in that model

Contributing

contact (https://gist.github.com/marcomerc/) for submitting pull requests to us.

Versioning

numpy version : 1.14.3 pandas version : u 0.24.1 sklearn version : 0.20.2 written in python 2.7

Authors

• Marco Mercado - All Work done by me - marcomerc

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Special thanks for Dr. Eamonn Keogh for teaching me this algorithm lol