wtberry · June 23, 2019 22:18
diff --git a/NameClassifer_label_encode.py b/NameClassifer_label_encode.py
 from sklearn.preprocessing import OrdinaryEncoder

 # creating mapping from unique label texts to unique integers
 # note this can be re-used to encode and decode the labels after as well
 encoder = OrdinaryEncoder().fit(df['code'])

 # using the encoder to encode the entire dataset
 y = encoder.transform(encoder)
	from sklearn.preprocessing import OrdinaryEncoder

	# creating mapping from unique label texts to unique integers
	# note this can be re-used to encode and decode the labels after as well
	encoder = OrdinaryEncoder().fit(df['code'])

	# using the encoder to encode the entire dataset
	y = encoder.transform(encoder)