Tools for Core ML model conversion, editing, and validation
Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries such as the following: * TensorFlow 1.x * TensorFlow 2.x * PyTorch * Non-neural network frameworks: scikit-learn XGBoost LibSVM With coremltools, you can: * Convert trained models to the Core ML format. * Read, write, and optimize Core ML models. * Verify conversion/creation (on macOS) by making predictions using Core ML. After conversion, you can integrate the Core ML models with your app using Xcode.
| Release | Stable | Testing |
|---|---|---|
| Fedora Rawhide | 9.0-3.fc46 | - |
| Fedora 45 | - | 9.0-3.fc45 |
You can contact the maintainers of this package via email at
python-coremltools dash maintainers at fedoraproject dot org.