Release v1.4
- Data-Driven Models
- Created new DataModel class as interface/superclass for all data-driven models. Data-driven models are interchangeable with physics-based models. DataModels can be trained using data (.from_data), or an existing model (.from_model)
- Introduced new LSTM State Transition DataModel. See lstm_model, full_lstm_model, and custom_model for examples of use
- Added ability to integrate training noise to data for DMD Model
- New Model: Single-Phase DC Motor
- Added the ability to select integration method when simulation. Current options are Euler and RK4
- Added automatic step size feature in simulation. When enabled, step size will adapt to meet the exact save_pts and save_freq. Step size range can also be bounded
- New Example Model: Simple Paris' Law
- Various bug fixes and performance improvements
Schedule:
Release Branch Opened: Wed 10/19
Release Review: Wed 10/26
Release date: Fri 10/28
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