Hi list,
I have a X (np.array) with some columns containing ids. I also have a list
of column names. Then I want to transform the relevant columns to be used
by a logistic regression model using OneHotEncoder:
>>> X = np.loadtxt(...) # from a CSV
>>> col_names = ... # from CSV header
>>> e = OneHotEncoder(categorical_features=id_columns)
>>> Xprime = e.fit_transform(X)
But then I don't know how to deduce the names of the columns in the new
matrix :(
Ideally I would want the same as DictVectorizer which has a feature_names_
member.
Anyone already had this problem ?
Eustache
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