base.py 文件源码

def _partial_fit(self, X, y=None):
        _checkXy(X, y)
        # update index
        self._inv_X = sp.vstack([self._inv_X, self._cv.transform(X)])
        # update source
        # self._fit_X = np.hstack([self._fit_X, np.asarray(X)])
        # try to infer viable doc ids
        if y is None:
            next_id = np.amax(self._y) + 1
            y = np.arange(next_id, next_id + len(X))
        else:
            y = np.asarray(y)
        self._y = np.hstack([self._y, y])

        self.n_docs += len(X)
        return self