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29 lines
1 KiB
Markdown
29 lines
1 KiB
Markdown
---
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title: Deploy traditional ML
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parent: Tutorials
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has_children: false
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nav_order: 9
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---
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# Deploy traditional ML models
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{: .no_toc }
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ONNX Runtime supports [ONNX-ML](https://github.com/onnx/onnx/blob/master/docs/Operators-ml.md) and can run traditional machine models created from libraries such as Sciki-learn, LightGBM, XGBoost, LibSVM, etc.
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## Contents
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{: .no_toc }
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* TOC placeholder
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{:toc}
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## Convert model to ONNX
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* [Scikit-learn conversion](http://onnx.ai/sklearn-onnx/tutorial_1_simple.html)
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* [Scikit-learn custom conversion](http://onnx.ai/sklearn-onnx/tutorial_2_new_converter.html)
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* [XGBoost conversion](http://onnx.ai/sklearn-onnx/auto_tutorial/plot_gexternal_xgboost.html)
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* [LightGBM conversion](http://onnx.ai/sklearn-onnx/auto_tutorial/plot_gexternal_lightgbm.html)
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* [ONNXMLTools samples](https://github.com/onnx/onnxmltools/tree/master/docs/examples)
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## Deploy model
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* *[COMING SOON]* Deploy a Python-trained model in a C# environment
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* *[COMING SOON]* Deploy a scikit-learn model securely without pkl files
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