classify.py 文件源码

def classify(self, data):
        """
        Classifies data based on current model.

        :param data: Matrix with each column a different sample.
        :returns: List of predictions, where return[i] describes data[:, i].
        """
        if self.use_pca:
            u, s, _ = scipy.sparse.linalg.svds(data)
            self.svc.predict(
                preprocessing.scale(u[:, :self.rank+1].T.dot(data).T))
        else:
            return self.svc.predict(preprocessing.scale(data.T))