code: def _make_partitioned_stats_method(self) -> Callable:
      raise NotImplementedError
  
imports: from abc import ABC, abstractmethod
  from typing import Callable, Dict, List, Optional, Union
  from synapse.ml.cyber.utils.spark_utils import ExplainBuilder, HasSetInputCol, HasSetOutputCol
  from pyspark.ml import Estimator, Transformer
  from pyspark.ml.param.shared import HasInputCol, HasOutputCol, Param, Params
  from pyspark.sql import DataFrame, functions, types
label_desc: Use image node_id 4 for calling the PerPartitionScalarScalerModel obj's underlying member method code with example usage: obj._make_partitioned_stats_method() without return types