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run_full_crossval.py
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#!/usr/bin/env python
"""
run_SVM.py
VARPA, University of Coruna
Mondejar Guerra, Victor M.
15 Dec 2017
"""
from train_SVM import *
# Run the cross val for all the modules (RR, Wavlets, HOS)
winL = 90
winR = 90
do_preprocess = True
use_weight_class = True
multi_mode = 'ovo'
#voting_strategy = 'ovo_voting' # 'ovo_voting_exp', 'ovo_voting_both'
oversamp_methods = {''} #,, 'SMOTE', 'SMOTEENN', 'SMOTETomek', 'ADASYN'
feature_selections = {''}#, 'SFS', 'CFS', 'RS'
do_cross_val = 'pat_cv' # 'beat_cv'
feature_selection = ''
maxRR = True
pca_k = 0
for oversamp_method in oversamp_methods:
print("run_full_crossval.py: SVM ((RR) train with oversamp " + oversamp_method)
use_RR = False
norm_RR = False
compute_morph = {'wvlt'} # 'wvlt', 'HOS', 'myMorph'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
"""
####################################
# No feature selecion!
# Raw + Feature selection!
use_RR = False
norm_RR = False
compute_morph = {'raw'} # 'wvlt', 'HOS', 'myMorph'
feature_selection = ''
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
"""
"""
print("run_full_crossval.py: SVM ((RR) train with oversamp " + oversamp_method)
# RR
use_RR = True
norm_RR = True
compute_morph = {''} # 'wvlt', 'HOS', 'myMorph', 'raw'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
print("run_full_crossval.py: SVM (Wavelet) train with oversamp " + oversamp_method)
# Wavelet
use_RR = False
norm_RR = False
compute_morph = {'wvlt'} # 'wvlt', 'HOS', 'myMorph', 'raw'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
# HOS my morph
print("run_full_crossval.py: SVM (HOS) train with oversamp " + oversamp_method)
use_RR = False
norm_RR = False
compute_morph = {'HOS'} # 'wvlt', 'HOS', 'myMorph'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
# HOS my morph
compute_morph = {'HOS', 'myMorph'} # 'wvlt', 'HOS', 'myMorph'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
print("run_full_crossval.py: SVM (RR + Wavelet + HOS) train with oversamp " + oversamp_method)
"""
"""
# RR + Wavelet + HOS_my_morph
use_RR = True
norm_RR = True
compute_morph = {'wvlt', 'HOS', 'myMorph'} # 'wvlt', 'HOS', 'myMorph', 'raw'
main(multi_mode, 90, 90, do_preprocess, use_weight_class, maxRR, use_RR, norm_RR, compute_morph, oversamp_method, pca_k, feature_selection, do_cross_val)
"""