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treper/LabelEncoder.py

Created April 6, 2017 16:19
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LabelEncoder.py
from sklearn.preprocessing import LabelEncoder
from collections import defaultdict
encoders_dict = defaultdict(LabelEncoder)
categorical = ['age']
users2 = users.apply(lambda x: encoders_dict[x.name].fit_transform(x.astype(str)) if x.name in categorical else x)
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