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 | ea85b8b79ca71e24da007eca48a3c1e0 |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | numpy <2.0a0, onnx, onnxconverter-common, packaging, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | ea85b8b79ca71e24da007eca48a3c1e0 |
| name | onnxmltools |
| platform | linux |
| sha1 | 3dd2d006242030e7fc243b715f4d9727832a24f3 |
| sha256 | 66bafe1c1924b9f096a284b9c4b270452eb529ee97c61538b2b2012fdb82ac1d |
| size | 342093 |
| subdir | linux-64 |
| timestamp | 1716930757003 |
| version | 1.12.0 |