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Converting XGBoost to Onnx using Sklearn Converter fails

See original GitHub issue

container.add_node('TreeEnsembleClassifier', operator.input_full_names, operator.output_full_names, op_domain='ai.onnx.ml', **attr_pairs)

XGBoost.py: convert (ln. 215) is calling the add_node method of the container argument which has an optional argument ‘name’, but is later raising RuntimeError: Parameter name cannot be empty and must be a string. since it is not being set by the calling method.

Similar invocations of the same method in the above described file should be applied with the same fix.

Thanks

Issue Analytics

State:
Created 4 years ago
Comments:11 (2 by maintainers)

Top GitHub Comments

1reaction

xaduprecommented, Sep 19, 2019

I’m adding unit tests to cover that scenario in sklearn-onnx. See https://github.com/onnx/sklearn-onnx/pull/262. Once this PR is merged, this issue will be fixed.

0reactions

francarucommented, Jan 9, 2020

I can confirm that this issue has been resolved. Thank you for your help.

Kind regards

On Thu, 9 Jan 2020, 21:16 ankit1200, notifications@github.com wrote:

Can we close this issue since PR #337 https://github.com/onnx/onnxmltools/pull/337 has been merged?

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