code: def __init__(self, output_types=None, gpu=None, **kw):
      super().__init__(_output_types=output_types, gpu=gpu, **kw)
  
imports: import pickle
  import numpy
  import pandas
  from ....None import opcodes
  from ....core import recursive_tile
  from ....serialization.serializables import KeyField, BytesField, DictField, FieldTypes
  from ....dataframe.core import SERIES_CHUNK_TYPE, DATAFRAME_CHUNK_TYPE
  from ....dataframe.utils import parse_index
  from ....tensor.core import TENSOR_TYPE, TensorOrder
  from ....utils import has_unknown_shape, ensure_own_data
  from ...operands import LearnOperand, LearnOperandMixin, OutputType
  from .dmatrix import ToDMatrix, check_data
label_desc: Use image node_id 1 to create a new XGBPredict object from inherited base classes: LearnOperand, LearnOperandMixin with example: obj = XGBPredict(output_types, gpu)