ONNXMLTools enables you to convert models from different machine learning toolkits into ONNX. Currently the following toolkits are supported: - Tensorflow (a wrapper of tf2onnx converter) - scikit-learn (a wrapper of skl2onnx converter) - Apple Core ML - Spark ML (experimental) - LightGBM - libsvm - XGBoost - H2O - CatBoost - Pytorch has its builtin ONNX exporter.
| Uploaded | Mon Mar 31 00:31:45 2025 |
| md5 checksum | 0ed061475b334d24293a1fefc5b1a522 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | numpy <2.0a0, onnx, python >=3.10,<3.11.0a0, skl2onnx |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 0ed061475b334d24293a1fefc5b1a522 |
| name | onnxmltools |
| platform | linux |
| sha1 | 65b2b6ca745df94c679e96b9e35518140b346c69 |
| sha256 | 9f9a70b29b2bc44965ff6d4fd623a292df0512931a8ecc506e61488dff4834fb |
| size | 341766 |
| subdir | linux-64 |
| timestamp | 1683288354025 |
| version | 1.11.2 |