def load(self, path): classes = load_pickle(path, "steps.pickle") self._steps = [object.__new__(c) for c in classes] for index, step in enumerate(self._steps): step_path = path + str(index) step.load(step_path) self._fitted_scores = np.sort(load_numpy_txt(path+"scores"))
def load(self, path=None): if path: self._model = load_pickle(path) else: self._model = load_pickle(self._model_path)