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 00:31:46 2025 |
| md5 checksum | 94a3fc9383c0749695af9549c015e1a2 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | numpy <2.0a0, onnx, python >=3.11,<3.12.0a0, skl2onnx |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 94a3fc9383c0749695af9549c015e1a2 |
| name | onnxmltools |
| platform | linux |
| sha1 | 3d15625edeb29324041602d969d3ca9bd7670608 |
| sha256 | 9b87e1e8fbf9254a3d58ab1e4ae1862fcafbc8d2328d93bb49d29f9424debbc7 |
| size | 440455 |
| subdir | linux-64 |
| timestamp | 1683288453120 |
| version | 1.11.2 |