Sklearn: Categorical Imputer?

Question

Is there a way to impute categorical values using a sklearn.preprocessing object? I would like to ultimatly create a preprocessing object which I can apply to new data and have it transformed the same way as old data.

I am looking for a way to do it so that I can use it this way.

Answer 1

Yes, it is possible. For example, you can use sklearn.preprocessing.Imputer with parameter strategy = 'most_frequent'.

Use fit_transform method to apply it to old data (train set) and then transform on new data (test set).