from sklearn import TfIdfVectorizer | |
import wordcloud | |
from pydantic import BaseModel | |
class WordCloudExtractor: | |
tfidf_params: Dict[str, Any] | |
def extract_from_corpus(self, texts: Iterable[str], n_words: int) -> wordcloud.WordCloud: | |
pass | |
from sklearn import TfIdfVectorizer | |
import wordcloud | |
from pydantic import BaseModel | |
class WordCloudExtractor: | |
tfidf_params: Dict[str, Any] | |
def extract_from_corpus(self, texts: Iterable[str], n_words: int) -> wordcloud.WordCloud: | |
pass | |