class_docstr: LightGBM Model for high frequency prediction
class_docstr_tok: ["LightGBM","Model","for","high","frequency","prediction"]
code: def __init__(self, loss="mse", **kwargs):
      if loss not in {"mse", "binary"}:
          raise NotImplementedError
      self.params = {"objective": loss, "verbosity": -1}
      self.params.update(kwargs)
      self.model = None
  
file_path: qlib/qlib/contrib/model/highfreq_gdbt_model.py
imports: import warnings
  import numpy
  import pandas
  import lightgbm
  from ...model.base import ModelFT
  from ...data.dataset import DatasetH
  from ...data.dataset.handler import DataHandlerLP
  from ...model.interpret.base import LightGBMFInt
label_desc: Use image node_id 1 to create a new HFLGBModel object from inherited base classes: ModelFT, LightGBMFInt with example: obj = HFLGBModel(loss)