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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_params(self, deep=True):
 		""" 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. 		"""

		params = {'weights':self.coef_, 'bias':self.intercept_}
		if deep:
			for key, value in self.B.items():
				params['b_'+str(key)] = value
		
		return params