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 00:31:48 2025 |
| md5 checksum | 8cadd08a4b472c55b514673593567bd9 |
| 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 | 8cadd08a4b472c55b514673593567bd9 |
| name | onnxmltools |
| platform | linux |
| sha1 | 31574ded1bb43d52dacc28b48067121a73acf0b4 |
| sha256 | f7a6e8d547ee955dfb204e8420339a7bf0474b5bea186ff76d92881133863ace |
| size | 312715 |
| subdir | linux-64 |
| timestamp | 1671721331834 |
| version | 1.11.0 |