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 00:31:47 2025 |
| md5 checksum | 363e75db68b74b0077ca1411bb21d20a |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | numpy, onnx, python >=3.8,<3.9.0a0, skl2onnx |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 363e75db68b74b0077ca1411bb21d20a |
| name | onnxmltools |
| platform | linux |
| sha1 | 34adcaa147817be136dcdd1d0255ff414d18c993 |
| sha256 | 52d687920c5431ebceadfe18384f5af94c4fc9744737d93e3ba831e515f7b88c |
| size | 339613 |
| subdir | linux-64 |
| timestamp | 1683288301019 |
| version | 1.11.2 |