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 00:31:49 2025 |
| md5 checksum | 887c31eb2bdf2d1d5de55b9b15a2ac92 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | numpy, onnx, python >=3.8,<3.9.0a0, skl2onnx |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 887c31eb2bdf2d1d5de55b9b15a2ac92 |
| name | onnxmltools |
| platform | linux |
| sha1 | 5b6c3c7530b8b171ea9499b2f10c386a6ef3f45e |
| sha256 | 470e643ba0a5a96ba3fcdb34c4c9004743e88026e5136a3c47765d76ee27890d |
| size | 311580 |
| subdir | linux-64 |
| timestamp | 1671721294415 |
| version | 1.11.0 |