async def METHOD_NAME(model: SKLearnModel, inference_request, req_outputs):
    inference_request.outputs = [
        RequestOutput(name=req_output) for req_output in req_outputs
    ]
    response = await model.predict(inference_request)
    input_data = inference_request.inputs[0].data
    if len(req_outputs) == 0:
        # Assert that PREDICT_OUTPUT is added by default
        req_outputs = [PREDICT_OUTPUT]
    assert len(response.outputs) == len(req_outputs)
    for req_output, output in zip(req_outputs, response.outputs):
        assert output.name == req_output
        assert output.shape[0] == len(input_data)  # type: ignore