RunMethod

Highly expressive features with Deep Forest 
Author: Yuning Yang
Date: June 12th, 2020

Description:
This tool is using HaForest algorithm to identify haploinsufficient genes

Please follow the following steps to execute the tool:

1. User needs to install Scikit-Learn style API and Python 3.5(v1.1.1)
   
2. Please change following paths to suit your system:
	1) set the program installed path. e.g. 'set execdir = /home/yangyn/Method/'
	4) set the data path. e.g. 'set datadir = /home/yangyn/Method/data'

3. supported different classifiers
  1) RandomForestClassifier
	2) XGBClassifier
	3) ExtraTreesClassifier
	4) GradientBoostingClassifier
	5) AdaBoostClassifier
	6) LightGBMClassifier

4. The prediction results will be displayed automatically. If you need to save the results, please specify the path yourself.
   cmd = joblib.dump(gc,'../path')

Thank you and enjoy the tool!
-Yuning Yang

If you have any suggestions or questions, Please email me at yangyn533@nenu.edu.cn