add of new transformation using dynamic process

custom_config.py

@@ -30,7 +30,7 @@ results_filename                = 'results.csv'
 perf_train_header_file          = "model_name;global_train_size;global_test_size;filtered_train_size;filtered_test_size;f1_train;f1_test;recall_train;recall_test;presicion_train;precision_test;acc_train;acc_test;roc_auc_train;roc_auc_test;\n"
 perf_prediction_header_file    = "data;data_size;model_name;accucary;f1;recall;precision;roc;\n"
 
-features_choices_labels         = ['static', 'svd_reconstruction', 'fast_ica_reconstruction', 'ipca_reconstruction', 'min_diff_filter', 'sobel_based_filter','nl_mean_noise_mask']
+features_choices_labels         = ['static', 'svd_reconstruction', 'svd_reconstruction_dyn', 'fast_ica_reconstruction', 'ipca_reconstruction', 'min_diff_filter', 'sobel_based_filter','nl_mean_noise_mask']
 
 # parameters
 

generate/generate_reconstructed_folder.py

@@ -195,8 +195,8 @@ def generate_data(transformation, _dataset_path, _output, _human_thresholds, _re
                         filename_parts = filename.split('_')
 
                         # get samples : `00XXX`
-                        n_samples = filename_parts[2]
-                        del filename_parts[2]
+                        n_samples = filename_parts[-1]
+                        del filename_parts[-1]
 
                         # `p3d_XXXXXX`
                         output_reconstructed = '_'.join(filename_parts)

modules

@@ -1 +1 @@
-Subproject commit 270de3a969ff3121e68f435cc6a3b570ba5b9d69
+Subproject commit 03d1c924629a4558f344abb26b3d4432c166eed5