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 00:31:45 2025 |
| md5 checksum | 8f5928de90429b3005f6c4ae8e5f0197 |
| arch | x86_64 |
| build | py38h06a4308_0 |
| depends | numpy, onnx, onnxconverter-common, packaging, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 8f5928de90429b3005f6c4ae8e5f0197 |
| name | onnxmltools |
| platform | linux |
| sha1 | 79668a87b8be44f0e019a275a595e4bd4cd2cb7e |
| sha256 | 3e1e1f7c98bce166ac281d7906dfefa61e23a137a17c10cb633af09f2eddaf0c |
| size | 342614 |
| subdir | linux-64 |
| timestamp | 1716930668949 |
| version | 1.12.0 |