Module linfa_preprocessing::count_vectorization

Count vectorization methods

Structs

CountVectorizer	Count vectorizer: learns a vocabulary from a sequence of documents (or file paths) and maps each vocabulary entry to an integer value, producing a FittedCountVectorizer that can be used to count the occurrences of each vocabulary entry in any sequence of documents. Alternatively a user-specified vocabulary can be used for fitting.
FittedCountVectorizer	Counts the occurrences of each vocabulary entry, learned during fitting, in a sequence of documents. Each vocabulary entry is mapped to an integer value that is used to index the count in the result.