class_docstr: CatBoost Model
class_docstr_tok: ["CatBoost","Model"]
code: def predict(
      self, dataset: DatasetH, segment: Union[Text, slice] = "test"
  ):
      if self.model is None:
          raise ValueError("model is not fitted yet!")
      x_test = dataset.prepare(
          segment, 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/catboost_model.py
imports: import numpy
  import pandas
  from typing import Text, Union
  from catboost import Pool, CatBoost
  from catboost.utils import get_gpu_device_count
  from ...model.base import Model
  from ...data.dataset import DatasetH
  from ...data.dataset.handler import DataHandlerLP
  from ...model.interpret.base import FeatureInt
  from ...data.dataset.weight import Reweighter
label_desc: Use image node_id 3 for calling the CatBoostModel obj's underlying member method code with example usage: obj.predict(dataset, segment) and returns: pd