Features selection algorithm based on self selected algorithm, loss function and validation method
Project description
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
pip3 install MLFeatureSelection
Modulus in version 0.0.9.5
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
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
DEMO
More examples are added in example folder include:
Function Parameters
Algorithm details
Project details
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