features_scores_iter = []
headers_iter = []
features_selected = []
print("total num features")
print(range(total_num_features))
for iteration in range(self.num_feature_subset):
After Change
// grab the previous features_selected
// grab new features so that there is no overlap
features_selected_id = []
prev_selection = np.sort(features_selected[0])
index = 0
for i in range(total_num_features):
if index >= num_features:
