def __init__(self,
	             X,
	             y,
	             feature_vocabulary,
	             category_names,
	             raw_texts,
	             unigram_frequency_path=None):
		'''
		Parameters
		----------
		X: sparse matrix integer, giving term-document-matrix counts
		y: list, integer categories
		feature_vocabulary: dict (feat_name -> idx)
		category_names: list of category names (len of y)
		raw_texts: array-like of raw texts
		unigram_frequency_path: str (see TermDocMatrix)

		'''
		TermDocMatrixFromScikit.__init__(self, X, y, feature_vocabulary,
		                                 category_names, unigram_frequency_path)
		self.raw_texts = raw_texts

		Parameters
		----------
		X: sparse matrix integer, giving term-document-matrix counts
		y: list, integer categories
		feature_vocabulary: dict (feat_name -> idx)
		category_names: list of category names (len of y)
		raw_texts: array-like of raw texts
		unigram_frequency_path: str (see TermDocMatrix)

		
scattertext/CorpusFromScikit.py