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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 decision_function(self, X):
 """ Apply transforms, and decision_function of the final estimator Parameters X : iterable Data to predict on. Must fulfill input requirements of first step of the pipeline. Returns ------- y_score : array-like, shape = [n_samples, n_classes] """

        Xt, _, _ = self._transform(X)
        return self._final_estimator.decision_function(Xt)