v1.5
Closed Jul 11, 2023
100% complete
Release v1.5
- New model type: Direct Models. Direct Models directly correlate current state and future load to time of event, rather than state-transition models which simulate forward to calculate time of event
- New model types that combine multiple models:
- EnsembleModel: combinations of multiple models of the same system where results are aggregated
- Com…
Release v1.5
- New model type: Direct Models. Direct Models directly correlate current state and future load to time of event, rather than state-transition models which simulate forward to calculate time of event
- New model types that combine multiple models:
- EnsembleModel: combinations of multiple models of the same system where results are aggregated
- CompositeModel: combinations of models of different systems that are interdependent
- New Model: Aircraft flight model
- New DataModel: Polynomial Chaos Expansion (PCE) Direct Surrogate model
- Initial transition of Input/State/OutputContainer and SimResult to use Pandas DataFrame. This release will bring the interface more in compliance with DataFrames. v1.6 will fully transition the classes to DataFrames.
- Implemented new metrics that can be used when calculating error: Root Mean Square Error (RMSE), Maximum Error (MAX_E), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Dynamic Time Warping (DTW)
- Error calculation metric can now be changed in estimate_params
- Revamping integration:
- New integration methods: RK4 and methods from scipy.integrate
- Integration is now set at the model level. For continuous models the specified integration method will apply when calling next_state
- 3.11 support
Release schedule (updated 6/1):
- Release Branch Opens: June 16, 2023
- Release Review: June 23, 2023
- Release Date: June 26, 2023
This milestone is closed.
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