--- a
+++ b/python/run_full_crossval.py
@@ -0,0 +1,99 @@
+#!/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)
+    """
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