class_docstr: Proxy of lightgbm.LGBMClassifier.
  
  See: `pydoc lightgbm.LGBMClassifier`
code: def __init__(self, *args: Any, **kwargs: Any) -> None:
      warnings.warn(
          "LightGBMTuner doesn't support sklearn API. "
          "Use `train()` or `LightGBMTuner` for hyperparameter tuning."
      )
      super().__init__(*args, **kwargs)
  
file_path: optuna/optuna/integration/_lightgbm_tuner/sklearn.py
imports: from typing import Any
  import warnings
  import lightgbm
label_desc: Use image node_id 1 to create a new LGBMClassifier object from inherited base classes: lgb with example: obj = LGBMClassifier()