code: def __init__(
      self,
      config: DatasetConfig,
      cache_dir: Optional[str] = None,
      use_tabnet_split=True,
  ):
      super().__init__(config, cache_dir=cache_dir)
      self.use_tabnet_split = use_tabnet_split
  
file_path: ludwig/ludwig/datasets/loaders/forest_cover.py
imports: from typing import Optional
  import pandas
  from sklearn.model_selection import train_test_split
  from ludwig.datasets.dataset_config import DatasetConfig
  from ludwig.datasets.loaders.dataset_loader import DatasetLoader
label_desc: Use image node_id 1 to create a new ForestCoverLoader object from inherited base classes: DatasetLoader with example: obj = ForestCoverLoader(config, cache_dir, use_tabnet_split)