Python, NLP, Numpy, Scikit Learn.
vocabulary, calculates the TfIdf value All values are converted to, and returned as, a Numpy array Here is the implementation: class TfIdfEncoder(SciKitTransformer): def __init__(self, doc_arr, vocab): self.doc_arr = doc_arr self.vocab = vocab self.word_frequency = self._word_frequency() def