code: def get_params(self, deep=True):
  		
  		params = {'weights':self.coef_, 'bias':self.intercept_}
  		if deep:
  			for key, value in self.B.items():
  				params['b_'+str(key)] = value
  		
  		return params
docs: Get parameters for the estimator.
  
  		Args:
  			deep (boolean, optional) : If True, will return the parameters for this estimator and contained subobjects that are estimators.
  
  		Returns:
  			params : mapping of string to any contained subobjects that are estimators.