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 22:58:55 2025 |
| md5 checksum | 2c685df3443b2969fdaf19611d40c359 |
| arch | x86_64 |
| build | py312h06a4308_0 |
| depends | numpy <2.0a0, onnx, onnxconverter-common, packaging, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 2c685df3443b2969fdaf19611d40c359 |
| name | onnxmltools |
| platform | linux |
| sha1 | f2ea037511a9bfec26f51dae30072bbed207c562 |
| sha256 | c67e479a3036a30f0d7501df5a0e1ed648ebeccd65f95c304a204b16f29d6c93 |
| size | 422945 |
| subdir | linux-64 |
| timestamp | 1716930727665 |
| version | 1.12.0 |