code: def convert_sklearn_min_max_scaler(operator, device, extra_config):
      assert operator is not None, "Cannot convert None operator"
  
      scale = np.array([x for x in operator.raw_operator.scale_])
      offset = np.array(
          [
              -1.0 / x * y
              for x, y in zip(
                  operator.raw_operator.scale_,
                  operator.raw_operator.min_,
              )
          ]
      )
      return Scaler(operator, offset, scale, device)
  
imports: import numpy
  from onnxconverter_common.registration import register_converter
  from .._scaler_implementations import Scaler
label_desc: Use image node_id 3 for calling a global function with example usage: convert_sklearn_min_max_scaler(operator, device, extra_config) and returns: Scaler