code: def convert_sklearn_max_abs_scaler(operator, device, extra_config):
      assert operator is not None, "Cannot convert None operator"
  
      scale = operator.raw_operator.scale_
      if scale is not None:
          scale = np.reciprocal(scale)
      return Scaler(operator, np.array([0]), scale, device)
  
imports: import numpy
  from onnxconverter_common.registration import register_converter
  from .._scaler_implementations import Scaler
label_desc: Use image node_id 2 for calling a global function with example usage: convert_sklearn_max_abs_scaler(operator, device, extra_config) and returns: Scaler