Onehotencoder = onehotencoder (Categorical_features = [1]) x = onehotencoder.fit_transform (x) .toarray () x = x [: 1:]
from sklearn.compose import ColumnTransformer
ct = ColumnTransformer([('encoder', OneHotEncoder(), [1])], remainder='passthrough')
X = np.array(ct.fit_transform(X), dtype=np.float)
lanzani