In Splunk MLTK , how do I convert Target variables back to original values after Standard Scaler pre-processing

[Shobitha]

In Splunk MLTK, how do I convert Target variables back to original levels after applying Standard Scaler pre-processing method. What is SPL command perform this conversion back to original levels 

[Shobitha]

Hi, 

I am looking for command equivalent to inverse_transform in Splunk. after applying Standard scaler pre-processing , all predicted target values are in standard scaler form. which needs to be converted to original levels as shown below, 

sc_y = StandardScaler()

y_pred = sc_y.inverse_transform(regressor.predict(X_test))

Regards,

Shobitha

[Shobitha]

Found a work around, I skipped preprocessing step for target/dependent variable and it seems to be working fine. Now the actual vs prediction shows actual values and not normalized ones.

[MCW]

Stumbled across this old query  as I need exact same functionality for inverse_transform() after SS pre-processing as my data vary in scale/level.

Is there any plan of adding this any time soonish?

Thanks,

MCW