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 | 5a3aaae350442ae110c22f68f66e181a |
| arch | x86_64 |
| build | py39h06a4308_0 |
| depends | numpy <2.0a0, onnx, python >=3.9,<3.10.0a0, skl2onnx |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 5a3aaae350442ae110c22f68f66e181a |
| name | onnxmltools |
| platform | linux |
| sha1 | fbcd65b1d5fa562e6a5741e9c2333511a5cb3f60 |
| sha256 | 095d33e78467e02cc71bf438a6cb643d92db9e3fddb283f2144f93c0cf412b1b |
| size | 339392 |
| subdir | linux-64 |
| timestamp | 1683288403841 |
| version | 1.11.2 |