Apply variable-length PSO to find the optimal structure of Weighted Random Forest

• gcForest official source code

• Create file data_helper.py:

data_folder = 'path/to/data/folder'
file_list = ['abalone', 'balance',...]

• Run:
  • VLGA:

  python demo_weighted_gcforest_vlga.py <from_file_id> <to_file_id>
  

  • VLPSO:

  python demo_weighted_gcforest_vlpso.py <from_file_id> <to_file_id>
  

  • RandomForest:

  python demo_randomforest.py <from_file_id> <to_file_id>