code: def export() -> None:
      threshold = 1.0
      node = onnx.helper.make_node(
          "Binarizer",
          inputs=["X"],
          outputs=["Y"],
          threshold=threshold,
          domain="ai.onnx.ml",
      )
      x = np.random.randn(3, 4, 5).astype(np.float32)
      y = compute_binarizer(x, threshold)[0]
  
      expect(
          node,
          inputs=[x],
          outputs=[y],
          name="test_ai_onnx_ml_binarizer",
      )
  
file_path: onnx/onnx/backend/test/case/node/ai_onnx_ml/binarizer.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
  from onnx.reference.ops.aionnxml.op_binarizer import compute_binarizer
label_desc: Use image node_id 1 for calling the Binarizer obj's underlying member method code with example usage: obj.export() without return types