gprzy

import string; import numpy as np; from functools import reduce
from sklearn.preprocessing import MinMaxScaler; from sklearn.tree import DecisionTreeClassifier

clf = DecisionTreeClassifier()

clf.fit(np.reshape(list(range(1,27)),(-1,1)),
        list(string.ascii_lowercase))

scaler = MinMaxScaler(feature_range=(1,26))