classify.py 文件源码

def train(self, data, labels):
        """
        Trains current classifier with matrix data and labels, where labels[i]
        describes data[:, i].

        :param data: Matrix of data, where each column is a separate sample.
        :param labels: List of labels, each corresponding to a column of data.
        """
        if self.use_pca:
            u, s, _ = scipy.sparse.linalg.svds(data)
            self.svc.fit(
                preprocessing.scale(u[:, :self.rank+1].T.dot(data).T), labels)
        else:
            self.svc.fit(preprocessing.scale(data.T), labels)