code: def predict_proba(
      model, data, session=None, run_kwargs=None, run=True, **kw
  ):
      return predict_base(
          model,
          data,
          session=session,
          run_kwargs=run_kwargs,
          run=run,
          proba=True,
          **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 3 for calling a global function with example usage: predict_proba(model, data, session, run_kwargs, run) and returns: predict_base