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)
