Jan-10-2021, 11:53 AM
hi, i just want to learn differences between scalar.fit command with differant coulumns
becuse in general programmers use just fit with 1 column and transform it all the others. i dont understand the point. thank you
becuse in general programmers use just fit with 1 column and transform it all the others. i dont understand the point. thank you
from sklearn.preprocessing import MinMaxScaler scaler = MinMaxScaler() scaler2 = MinMaxScaler() scaler3 = MinMaxScaler() #programmers use this, why transform x_test to x_test2 with "scaler.fit(x_train)" scaler.fit(x_train) x_train = scaler.transform(x_train) x_test2 = scaler.transform (x_test) #i think this one better but i dont know why pros didnt use it? scaler2.fit(x_test) x_test3=scaler2.transform(x_test)