code: def execute(cls, ctx, op: "StatsModelsPredict"):
      in_data = ctx[op.inputs[0].key]
      ctx[op.outputs[0].key] = op.model_results.model.predict(
          in_data, *op.predict_args, **op.predict_kwargs
      )
  
file_path: mars/mars/learn/contrib/statsmodels/predict.py
imports: import pickle
  import numpy
  from ....None import opcodes
  from ....core import OutputType, recursive_tile
  from ....dataframe.core import DATAFRAME_TYPE, SERIES_TYPE
  from ....serialization.serializables import BytesField, DictField, TupleField
  from ...operands import LearnOperand, LearnOperandMixin
label_desc: Use image node_id 7 for calling the StatsModelsPredict obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types