As seen here: https://mlis.fun/how-to-use-neural-networks-to-make-predictions/ · GitHub

As seen here: https://mlis.fun/how-to-use-neural-networks-to-make-predictions/

Raw

predict_diabetes.py

      
        from keras.models import load_model
      
        import numpy
      
        model = load_model('diabetes.h5')
      
        predict_me = numpy.array([[1, 126, 60, 0, 0, 30.1, 0.349, 47]])
      
        predictions = model.predict(predict_me)
      
        rounded = [round(output[0]) for output in predictions]
      
        print(rounded)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

You can’t perform that action at this time.