18872 0 sklearn.preprocessing.data.MinMaxScaler sklearn.preprocessing.data.MinMaxScaler 7 public 2021-01-13T18:19:24Z openml==0.12.2,sklearn==0.18.1 sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 Transforms features by scaling each feature to a given range. This estimator scales and translates each feature individually such that it is in the given range on the training set, i.e. between zero and one. The transformation is given by:: X_std = (X - X.min(axis=0)) / (X.max(axis=0) - X.min(axis=0)) X_scaled = X_std * (max - min) + min where min, max = feature_range. This transformation is often used as an alternative to zero mean, unit variance scaling. 0