numpy_min_max_scaler Data Preps has an issue

[hasan2m]

I was using the core to register my own work. I used the numpy_minmax_scaler.py from the core to scale my data. Feature range is provided in the config file as:

feature_range: (0,1)
data_store_loc: ""
store_loc: ""

Scikit-learn feature range should be a tuple. However, yaml file can't process tuple. Therefore, while I am running the code, it is considering as a string and I am getting the following error.

sklearn.utils._param_validation.InvalidParameterError: The 'feature_range' parameter of MinMaxScaler must be an instance of 'tuple'. Got '(0,1)' instead.

A lillte modification is needed in the numpy_minmax_scaler.py to convert it tuple before passing to scaler.

[dlersch]

@hasan2m , thank you for pointing this out. Do you want me to fix it, or are you able to provide the fix by yourself?

[hasan2m]

I can do that. @dlersch