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We can try to convert the random forest model to .onnx model (using skl2onnx) and run it with onnx runner to boost the inference efficiency.
.onnx
skl2onnx
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https://onnx.ai/
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see this notebook on how to convert a sklearn model to onnx format.
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We can try to convert the random forest model to
.onnx
model (usingskl2onnx
) and run it with onnx runner to boost the inference efficiency.The text was updated successfully, but these errors were encountered: