def fit(self, docs: List[str], doc_ids: List[Any], doc_nums: List[int]) -> None:
        """Fit the vectorizer.

        Args:
            docs: a list of input documents
            doc_ids: a list of document ids corresponding to input documents
            doc_nums: a list of document integer ids as they appear in a database

        Returns:
            None

        """
        self.doc_index = {}
        self.rows = []
        self.cols = []
        self.data = []
        return self.partial_fit(docs, doc_ids, doc_nums)
Fit the vectorizer.

        Args:
            docs: a list of input documents
            doc_ids: a list of document ids corresponding to input documents
            doc_nums: a list of document integer ids as they appear in a database

        Returns:
            None

        
deeppavlov/models/vectorizers/hashing_tfidf_vectorizer.py