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