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 00:31:43 2025 |
| md5 checksum | 32c39a09ec6f5ab21a9489be13138ef3 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | numpy <2.0a0, onnx, onnxconverter-common, packaging, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 32c39a09ec6f5ab21a9489be13138ef3 |
| name | onnxmltools |
| platform | linux |
| sha1 | 146ea1d4574bc119dc7474ea8ba907acd17b0fc0 |
| sha256 | 9c3ca0274d958e4c38aedb220f0c272f37f8c916713608f9c04e0e2535b715e7 |
| size | 344034 |
| subdir | linux-64 |
| timestamp | 1716930698255 |
| version | 1.12.0 |