ProgPy v1.8
- New Feature Discrete States: Inputs, states, outputs, or performance metrics can now be represented by a discrete state object, which will only exist in a set of defined states. See the Discrete State Notebook for examples of use
New model: Simplified Battery. This is a simplified version of the BatteryElectroChemEOD model first introduced in the PHM Society Conference ProgPy Tutorial. See Included Models for details - Support for Python3.13
- Improved “ProgPy Short Course”: A series of Jupyter Notebooks designed to help users get started with ProgPy and understand how to use it for prognostics. See https://github.com/nasa/progpy/tree/master/examples
- Various bugfixes and efficiency improvements
May 7: Release Branch Opens
May 15: Release Review
May 17: Release
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