code: def __init__(
      self,
      data=None,
      model=None,
      proba=None,
      kwds=None,
      output_types=None,
      **kw,
  ):
      super().__init__(
          _data=data,
          _model=model,
          _proba=proba,
          _kwds=kwds,
          _output_types=output_types,
          **kw,
      )
  
imports: import pickle
  import numpy
  import pandas
  from ....None import opcodes
  from ....core import recursive_tile
  from ....dataframe.utils import parse_index
  from ....serialization.serializables import BoolField, BytesField, DictField, KeyField
  from ....tensor.core import TENSOR_TYPE, TensorOrder
  from ...operands import LearnOperand, LearnOperandMixin, OutputType
label_desc: Use image node_id 1 to create a new LGBMPredict object from inherited base classes: LearnOperand, LearnOperandMixin with example: obj = LGBMPredict(data, model, proba, kwds, output_types)