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#python #scaling #prediction
... # define the scaler scaler = MinMaxScaler() # fit on the training dataset scaler.fit(X_train) # scale the training dataset X_train = scaler.transform(X_train) # scale the test dataset X_test = scaler.transform(X_test)
#python #scaling #data
def log_scale(x): C = 1 / np.log(10) return np.sign(x) * np.log10(1 + np.abs(x / C))
Fri Jan 14 2022 14:40:01 GMT+0000 (Coordinated Universal Time)
Thu Dec 02 2021 11:45:37 GMT+0000 (Coordinated Universal Time)
