'StepOut' : {'Value': [3,3], 'Minimum':[2,2]}, 'Select' : {'Name': 'Selection', 'Values': ['Item 0', 'Item 1', 'Item 2', 'Item 3'], 'Selection': 2}, 'Par_0': {'Name': 'Parameter 0', 'Value': 0}, 'Par_1': {'Name': 'Parameter 1', 'Value': 1}, 'Par_2': {'Name': 'Parameter 2', 'Value': 2}, 'Par_3': {'Name': 'Parameter 3', 'Value': 3}, 'Par_4': {'Name': 'Parameter 4', 'Value': 4}, 'Par_5': {'Name': 'Parameter 5', 'Value': 5}, 'Parallel': False, 'Help': 'https://github.com/waynegm' } # # Define the compute function # def doCompute(): while True: xa.doInput() xa.doOutput() # # Assign the compute function to the attribute # xa.doCompute = doCompute # # Do it # xa.run(sys.argv[1:])
predictor = TensorFlowPredictor(endpoint_name) myfile = open( r"C:\Users\Polash-Dell\coder_guy\PycharmProjects\aws_dl\1_aws_dl.txt", 'w+') myfile.write("Norm Amp : Porosity") while True: xa.doInput() x_test_list = xa.Input['Input'][0, 0, :].tolist() x_test = pd.DataFrame(x_test_list) stats = x_test.describe() stats = stats.transpose() x_test = (x_test - stats['mean']) / stats['std'] for a in x_test.values: myfile.write(str(a) + ": ") try: test_predictions = predictor.predict(a) myfile.write(str(test_predictions['predictions'][0][0]) + "\n") except: e = sys.exc_info()[0] myfile.write("\nError:" + str(e)) xa.Output['Output'] = xa.Input['Input'] xa.doOutput() myfile.close() xa.doCompute = doCompute xa.run(sys.argv[1:])