class_docstr: LightGBM Model for high frequency prediction
class_docstr_tok: ["LightGBM","Model","for","high","frequency","prediction"]
code: def predict(self, dataset):
      if self.model is None:
          raise ValueError("model is not fitted yet!")
      x_test = dataset.prepare(
          "test", col_set="feature", data_key=DataHandlerLP.DK_I
      )
      return pd.Series(
          self.model.predict(x_test.values), index=x_test.index
      )
  
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 6 for calling the HFLGBModel obj's underlying member method code with example usage: obj.predict(dataset) and returns: pd