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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 bic(self, X):
 """Bayesian information criterion for the current model fit and the proposed data Parameters X : array of shape(n_samples, n_dimensions) Returns ------- bic: float (the lower the better) """

        return (-2 * self.score(X).sum() +
                self._n_parameters() * np.log(X.shape[0]))