Convenience function that fits the provided data then predicts the class labels
        Parameters
        ----------
        features: array-like {n_samples, n_features}
            Feature matrix
        classes: array-like {n_samples}
            List of true class labels

        Returns
        ----------
        array-like: {n_samples}
            Constructed features from the provided feature matrix

def fit_predict(self, features, classes):
        """Convenience function that fits the provided data then predicts the class labels
        Parameters
        ----------
        features: array-like {n_samples, n_features}
            Feature matrix
        classes: array-like {n_samples}
            List of true class labels

        Returns
        ----------
        array-like: {n_samples}
            Constructed features from the provided feature matrix

        """
        self.fit(features, classes)
        return self.predict(features)