def main():
timing.start_measurement()
print("Do combined classification using all input files")
file_contents, labels = input_parser.parse_input_files(
config.get_record_dir(), combine_sc_vectors=True)
X = ft.extract_preconfigured_features(file_contents)
Y = pd.Series(labels)
app_classifier.do_kfold_cross_validation(X, Y)
timing.stop_measurement()
def main():
timing.start_measurement()
print("Do combined classification using all input files")
file_contents, labels = input_parser.parse_input_files(
config.get_record_dir(), combine_sc_vectors=True)
X = ft.extract_preconfigured_features(file_contents)
Y = pd.Series(labels)
_, total_first_acc, total_second_acc, total_third_acc, total_single_accuracies = app_classifier.do_kfold_cross_validation(
X, Y)
total_acc = [total_first_acc, total_second_acc, total_third_acc]
plt.plot(total_acc)
plt.show()
plt.plot(total_single_accuracies)
plt.show()
timing.stop_measurement()
def main():
timing.start_measurement()
print("Do explorative classification with separate input files")
explorative_classification()
timing.stop_measurement()
def main():
timing.start_measurement()
classify_separated_test_directory()
timing.stop_measurement()