Best practice for data normalization when using import model from Keras to predict ?

I have train a deep learning model in Keras where my input data is normalize by using the standard scaler

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html

If I import that model into matlab to use it to predict I also have to use the standard scaler.

Now I have two choices in mind to do this

1/ Call the standard scaler from python

2/ Use Matlab built in function

My Matlab version is 2020a

What choice should I proceed with and how to implement it

Thank you very much

Answer 1

[Madhav Thakker]

Hi Tuong,

I understand that you want to do the preprocessing as done with the training data by using StandardScaler of sklearn. The same functionality can be done with MATLAB zscore. To replicate the behavior of the scipy function, you will have to set flag input as 1, to use population standard deviation.

Hope this helps.