progpy
progpy copied to clipboard
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provide...
**Describe the bug** For predictors, when setting events = [] should predict until time, ignoring events. This doesn't work for UT Predictor **To Reproduce** Steps to reproduce the behavior: 1....
### Requirements Explore methods for using time_of_event fin prediction ### Potential Solutions * If no more save_pts, switch to time_of_event (to get final time, since no more states are required)...
**DoD** - [ ] Explore compatibility with Simpy - [ ] Add issues, as needed, for follow-up work to ensure or demonstrate compatibility
**Requirement Text** Adjust 'auto' step size behavior to adjust step size around event occurrence to better capture time of event **Background Information** Right now auto step size adjusts around stop_pts,...
**Requirement Text** Implement methods for reducing LSTM model size **Suggested Solution** .reduce method **DoD** - [ ] Implement method - [ ] Add example - [ ] Add tests -...
**Requirement Text** Allow for specification of range for parameters - automatically give warning when setting parameters and use in parameter estimation **Background Information** Range in parameters can help parameter estimation...
**Requirement Text** Update lstm to support direct model (i.e., time_of_event) **Background Information** Currently lstm is just state transition **DoD** - [ ] Implement feature - [ ] Add to example...
**Requirement Text** Allow the user to specify the number of Dense layers for each output of the LSTM. **Background Information** Additional dense layers could improve the ability to represent complex...
**Requirement Text** This feature should be able to return a Warning detailing option keys that do not not exist in the method's options. The current optimize.show_options function currently either returns...
We want to submit a rc version (ends in .rc#, e.g., .rc0) to PyPi, then test it for each commit to a release branch. Suggestion - see pypi-version to get...