code: def __init__(self):
      super().__init__()
      self.remainder_model = None
  
imports: from abc import ABC, abstractmethod
  import numpy
  from sklearn.preprocessing.data import PolynomialFeatures
  from sklearn.svm.classes import LinearSVC, NuSVC, SVC
  import sys
  from benchmarks.timer import Timer
  from benchmarks.datasets import LearningTask
  from hummingbird.ml import constants
  from hummingbird.ml import convert_batch
label_desc: Use image node_id 1 to create a new ONNXMLBackend object from inherited base classes: ScoreBackend with example: obj = ONNXMLBackend()