def set_params(self, **params):
if '<STR_LIT>' in params.keys():<EOL><INDENT>self.intercept_ = params['<STR_LIT>']<EOL><DEDENT>if '<STR_LIT>' in params.keys():<EOL><INDENT>self.coef_ = params['<STR_LIT>']<EOL><DEDENT>for key in params.keys():<EOL><INDENT>if '<STR_LIT>' == key[:<NUM_LIT:2>]:<EOL><INDENT>self.B[int(key[<NUM_LIT:2>:])] = params[key]<EOL><DEDENT><DEDENT>return self<EOL>
Set the parameters of the estimator.

        Args:
                bias (array-like) : bias of the estimator. Also known as the intercept in a linear model.
                weights (array-like) : weights of the features. Also known as coeficients.
                NER biases (array-like) : NER entities infering column position on X and bias value. Ex: `b_4=10, b_5=6`.

        Example:
                >>> cls = VTT()
                >>> cls.set_params(b_4=10, b_5=6, b_6=8)