code: def get_scores_and_p_values(self, tdm, category):
  		'''
  		Parameters
  		----------
  		tdm: TermDocMatrix
  		category: str, category name
  
  		Returns
  		-------
  		pd.DataFrame(['coef', 'p-val'])
  		'''
  		X = tdm._X
  		y = self._make_response_variable_1_or_negative_1(category, tdm)
  		pX = X / X.sum(axis=1)
  		ansX = self._anscombe_transform(pX.copy())
  		B, istop, itn, r1norm, r2norm, anorm, acond, arnorm, xnorm, var\
  			= lsqr(A=ansX, b=y, calc_var=Truef get_scores_and_p_values(self, tdm, category):
  		'''
  		Parameters
  		----------
  		tdm: TermDocMatrix
  		category: str, category name
  
  		Returns
  		-------
  		pd.DataFrame(['coef', 'p-val'])
  		'''
  		X = tdm._X
  		y = self._make_response_variable_1_or_negative_1(category, tdm)
  		pX = X / X.sum(axis=1)
  		ansX = self._anscombe_transform(pX.copy())
  		B, istop, itn, r1norm, r2norm, anorm, acond, arnorm, xnorm, var\
  			= lsqr(A=ansX, b=y, calc_var=True)
docs: Parameters
  		----------
  		tdm: TermDocMatrix
  		category: str, category name
  
  		Returns
  		-------
  		pd.DataFrame(['coef', 'p-val'])