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Integration method can now be set for state estimation and prediction by setting model.parameters[‘integration_method’]
Minimum time step can now be set in state estimation using the argument 'dt'. This is useful for models that become unstable with large time steps
Support for python3.11
Note
In the next release (v1.6), prog_models and prog_algs will be combined into a single package called progpy. For release v1.6 you will install what is currently prog_modals and prog_algs by calling pip install progpy.
Acknowledgements
Thank you to our interns Aditya Tummala (@aqitya) and Miryam Strautkalns (@mstraut) for their contributions to this release.
This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!
This discussion was created from the release prog_algs v1.5.
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Release v1.5
Note
In the next release (v1.6), prog_models and prog_algs will be combined into a single package called progpy. For release v1.6 you will install what is currently prog_modals and prog_algs by calling
pip install progpy
.Acknowledgements
Thank you to our interns Aditya Tummala (@aqitya) and Miryam Strautkalns (@mstraut) for their contributions to this release.
This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!
This discussion was created from the release prog_algs v1.5.
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