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 00:31:44 2025 |
| md5 checksum | 8a21e805b73c2b0c5c40d4514aa90506 |
| arch | x86_64 |
| build | py311h06a4308_0 |
| depends | numpy <2.0a0, onnx, onnxconverter-common, packaging, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8a21e805b73c2b0c5c40d4514aa90506 |
| name | onnxmltools |
| platform | linux |
| sha1 | 359966229a08e141b7bac57d72b73f9bae9ea14f |
| sha256 | a8d5894484697096f0ce96060dca70792093fdf498ffd131ffcdce38a1cf0021 |
| size | 434180 |
| subdir | linux-64 |
| timestamp | 1716930635833 |
| version | 1.12.0 |