def run()

in mnist-vscode-docs-sample/score.py [0:0]

• 5 lines of code
• 1 McCabe index (conditional complexity)

def run(raw_data):
    data = np.array(json.loads(raw_data)['data'])
    # make prediction
    out = output.eval(session = sess, feed_dict = {X: data})
    y_hat = np.argmax(out, axis = 1)
    return json.dumps(y_hat.tolist())