This release is a pre-release and may not be stable for production use.
SSM Toybox
Python 3 implementation of the nonlinear sigma-point filters based on Bayesian quadrature, such as
- Gaussian Process Quadrature Kalman Filter [1]
- Student's t-Process Quadrature Kalman Filter [2]
Included are also the well-known classical nonlinear Kalman filters such as:
- Extended Kalman Filter
- Unscented Kalman Filter
- Cubature Kalman Filter
- Gauss-Hermite Kalman Filter
Build documentation
cd docs
sphinx-apidoc -o ./ ../ssmtoybox ../ssmtoybox/tests
make html
Why toybox?
Because 'toolbox' sounds too serious :-).
References
[1]: [DOI | PDF] Prüher, J. and Straka, O. Gaussian Process Quadrature Moment Transform, IEEE Transactions on Automatic Control, 2017
[2]: [DOI | PDF] Prüher, J.; Tronarp, F.; Karvonen, T.; Särkkä, S. and Straka, O. Student-t Process Quadratures for Filtering of Non-linear Systems with Heavy-tailed Noise, 20th International Conference on Information Fusion (Fusion), 1-8, 2017
Release files for ssmtoybox 0.1.1a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ssmtoybox-0.1.1a0.tar.gz | 57.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ssmtoybox-0.1.1a0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 123.3 kB
Release files / ssmtoybox-0.1.1a0.tar.gz
| Download URL | ssmtoybox-0.1.1a0.tar.gz |
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| Size | 57.8 kB |
| Tags | Source |
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Release files / ssmtoybox-0.1.1a0-py3-none-any.whl
| Download URL | ssmtoybox-0.1.1a0-py3-none-any.whl |
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| Size | 65.5 kB |
| Tags | Python 3 |
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