code: def sigmoid_probability(score, proba, probb):
      # ref: https://github.com/arnaudsj/libsvm/blob/eaaefac5ebd32d0e07902e1ae740e038eaaf0826/svm.cpp#L1818
      val = score * proba + probb
      return 1 - compute_logistic(val)
  
file_path: onnx/onnx/reference/ops/aionnxml/op_svm_classifier.py
imports: import numpy
  from onnx.reference.ops.aionnxml._common_classifier import compute_logistic, compute_probit, compute_softmax_zero, logistic, softmax, softmax_zero
  from onnx.reference.ops.aionnxml._op_run_aionnxml import OpRunAiOnnxMl
  from onnx.reference.ops.aionnxml.op_svm_helper import SVMCommon
label_desc: Use image node_id 2 for calling a global function with example usage: sigmoid_probability(score, proba, probb) and returns: unknown