class_docstr: This type of meta-model aims to guide the training process of the base model. The meta-model interacts with the base forecasting models during their training process.
code: def fit(self, *args, **kwargs):
      pass
  
file_path: qlib/qlib/model/meta/model.py
imports: import abc
  from typing import List
  from .dataset import MetaTaskDataset
label_desc: Use image node_id 1 for calling the MetaGuideModel obj's underlying member method code with example usage: obj.fit() without return types