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nasa / prog_algs

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.
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Release Review Fixes #187

Closed lawrence-hwang closed 2 years ago

codecov-commenter commented 2 years ago

Codecov Report

Merging #187 (5c0bc14) into release/v1.3 (4ecf549) will decrease coverage by 0.05%. The diff coverage is 0.00%.

@@               Coverage Diff                @@
##           release/v1.3     #187      +/-   ##
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- Coverage         90.47%   90.42%   -0.06%     
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  Files                52       52              
  Lines              3214     3216       +2     
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  Hits               2908     2908              
- Misses              306      308       +2
Impacted Files Coverage Δ
examples/playback.py 31.94% <0.00%> (-0.92%) :arrow_down:
src/prog_algs/state_estimators/kalman_filter.py 95.16% <ø> (ø)
src/prog_algs/state_estimators/particle_filter.py 95.29% <ø> (ø)
src/prog_algs/state_estimators/state_estimator.py 96.96% <ø> (ø)
...g_algs/state_estimators/unscented_kalman_filter.py 98.36% <ø> (ø)

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