def normalizeDictSegments(feat_seg, thresholds):
'''Return new dict of normalized, segmented features for each test. thresholds
provided must be same as ones used for feat normalization prior to cdbk training'''
feat_seg_norm = copy.deepcopy(feat_seg)
for key, test in feat_seg_norm.iteritems():
for seg in test:
seg = scrub.normalizeByColumn(seg, thresholds)
return feat_seg_norm
def normalizeListSegments(feat_seg, thresholds):
'''Return new list of normalized, segmented features for each test. thresholds
provided must be same as ones used for feat normalization prior to cdbk training'''
feat_seg_norm = copy.deepcopy(feat_seg)
return [scrub.normalizeByColumn(segment, thresholds) for segment in feat_seg_norm]
