ProgPy v1.6

Release v1.6

• Combined previous prog_models and prog_algs packages into a single package, progpy.
• Added new MixtureOfExperts model, which combines multiple models of the same system into a single model, where only the best of the comprised models will be used at each timestep.
• Added ability to set random seed in GaussianNoiseWrapper, allowing for repeatable experiments
• Various bug fixes and performance improvements

Updating from prog_models/algs v1.5

ProgPy v1.6 combined prog_models and prog_algs into a single package, progpy. To upgrade to 1.6, you will need to download the new progpy package (pip install progpy) and update all imports to use progpy.
For example from prog_models import PrognosticsModel becomes from progpy import PrognosticsModel, and from prog_algs import predictors becomes from progpy import predictors.

Interns

Thank you interns/visiting researchers @aqitya and @mstraut for your contributions to this release