Re: [scikit-learn] help-Renaming features in Sckit-learn's CountVectorizer()

You can effectively merge features through matrix multiplication: multiply the CountVectorizer output by a sparse matrix of shape (n_features_in, n_features_out) which has 1 where the output feature corresponds to an input feature. Your spelling correction then consists of building this mapping

[scikit-learn] help-Renaming features in Sckit-learn's CountVectorizer()

Hai all, I have a very large pandas dataframe. Below is the sample * Id description* 1switvch for air conditioner transformer.. 2control tfrmr... 3coling pad. 4DRLG machine 5hair smothing