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
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))
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.