labels.append(1)
else:
labels.append(0)
if verbose:
# print(data)
# print(files)
print(labels)
print()
return data, labels
if __name__ == '__main__':
train_data, train_target = fetch_data('downgesture_train.list')
neuralnet = NeuralNetwork()
neuralnet.add_layer(size=1, input_size=len(train_data[0]), type='input')
neuralnet.add_layer(size=100)
neuralnet.add_layer(size=1, type='output')
neuralnet.fit(data=train_data,
target=train_target,
eta=0.1,
verbose=verbose)
# if needed clean data
# fit a model
# train a model
test_data, test_target = fetch_data('downgesture_test.list')
predicted_target = neuralnet.predict(test_data)
accuracy = neuralnet.accuracy(test_target, predicted_target)
print("Accuracy:", accuracy)
