Recent Releases of gmr
gmr - 1.6
- Fixes numerical issues in condition and expectation step
- Add oracle approximating shrinkage to handle singular covariances
- Add sklearn-compatible GaussianMixtureRegressor
- Faster batch prediction of means
- Accept lists where previously only numpy arrays were accepted
Scientific Software - Peer-reviewed
- Python
Published by AlexanderFabisch over 4 years ago
gmr - 1.5
Installation
- Changes
requirestoinstall_requiresinsetup.py - Adds optional requirements for examples, tests, and documentation
Documentation
- Links new API documentation in readme
- Documentation in example
plot_iris_from_sklearn.pyexplains why the fit is bad. The purpose of this example is to show that we can initialize from a GMM of sklearn. - Documentation of how to contribute to the software (in readme)
Code
- Fixes deprecation warnings for NumPy type aliases
- Adds
GMM.extract_mvn
Scientific Software - Peer-reviewed
- Python
Published by AlexanderFabisch almost 5 years ago