def get_formatted_data(file_path):
unformatted_tr_data = load_data.load_training_data(file_path)
unformatted_tr_labels = load_data.load_training_labels(file_path)
unformatted_te_data = load_data.load_testing_data(file_path)
unformatted_te_labels = load_data.load_testing_labels(file_path)
formatted_tr_data = unformatted_tr_data
formatted_te_data = unformatted_te_data
formatted_tr_labels = [[], []]
for l in unformatted_tr_labels:
formatted_tr_labels[0].append([l[0]])
formatted_tr_labels[1].append([1, 0] if bool(l[1]) else [0, 1])
formatted_tr_labels = [np.array(dat) for dat in formatted_tr_labels]
formatted_te_labels = [[], []]
for l in unformatted_te_labels:
formatted_te_labels[0].append([l[0]])
formatted_te_labels[1].append([1, 0] if bool(l[1]) else [0, 1])
formatted_te_labels = [np.array(dat) for dat in formatted_te_labels]
print(formatted_tr_labels)
return (((formatted_tr_data, formatted_tr_labels), (formatted_te_data,
formatted_te_labels)))
def get_formatted_data(file_path):
tr_d = format_data_segment(load_data.load_training_data(file_path))
tr_l = format_label_segment(load_data.load_training_labels(file_path))
te_d = format_data_segment(load_data.load_testing_data(file_path))
te_l = format_label_segment(load_data.load_testing_labels(file_path))
return (((tr_d, tr_l), (te_d, te_l)))
def verify_templates(file_path):
tr_labels = load_training_labels()
tr_snr = load_training_calculated_snr()
te_labels = load_testing_labels()
te_snr = load_testing_calculated_snr()
total_labels = list(tr_labels) + list(te_labels)
del tr_labels
del te_labels
total_snr = list(tr_snr) + list(te_snr)
del tr_snr
del te_snr
THRESHOLD = 0.4
diff = [total_labels[i] - total_snr[i] for i in range(len(total_labels))]
del total_labels
del total_snr
stats, pval = normaltest(diff)
return (pval > THRESHOLD)
