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Announcing the release of ProgPy v1.6, the first release of the ProgPy package that combined prog_models and prog_algs.
Release Notes
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
Note: 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.
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Announcing the release of ProgPy v1.6, the first release of the ProgPy package that combined prog_models and prog_algs.
Release Notes
Note: 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 fromprogpy import PrognosticsModel
, andfrom prog_algs import predictors
becomesfrom progpy import predictors
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