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 | cc0692f43aa11c20758e93b9bc3a187c |
| 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 | cc0692f43aa11c20758e93b9bc3a187c |
| name | onnxmltools |
| platform | linux |
| sha1 | 5d32577fdd2dbfc6908d7229f4b7fd418655b20b |
| sha256 | 961d89bda301ef291d23eb4385e8c76669fc1b41b4980aafc37ee95860ba2f60 |
| size | 311413 |
| subdir | linux-64 |
| timestamp | 1671721211794 |
| version | 1.11.0 |