ProgPy v1.8

[teubert]

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 (with the exception of ProgPy's data driven dependencies due to Tensorflow not supporting this Python version)
• Dropped support of end-of-life Python3.7 and Python3.8
• 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

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This discussion was created from the release ProgPy v1.8.