nasa / prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
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A few small suggested changes #560

Closed teubert closed 1 year ago

teubert commented 1 year ago
github-actions[bot] commented 1 year ago

Thank you for opening this PR. Since this is a release branch, the PR must complete the release checklist, below:

github-actions[bot] commented 1 year ago
Benchmarking Results From: Test Time (s)
import main 0.11445410000000011
import thrown object 0.49694949999999993
model initialization 0.15388000000000002
set noise 0.6660728
simulate 0.4927785
simulate with saving 1.3818418000000001
simulate with saving, dt 1.7873115000000004
simulate with printing results, dt 2.2504832000000006
Plot results 14.417189599999999
Metrics 0.039962500000001455
Surrogate Model Generation 2.1445343
surrogate sim 1.350155100000002
surrogate sim, dt 3.6367900000000013
To: Test Time (s)
import main 0.11743890000000001
import thrown object 0.49183810000000006
model initialization 0.15378500000000006
set noise 0.6796221
simulate 0.4941635999999998
simulate with saving 1.3822935999999997
simulate with saving, dt 1.7828879999999998
simulate with printing results, dt 2.2199761000000002
Plot results 14.1064254
Metrics 0.04166329999999974
Surrogate Model Generation 2.136781199999998
surrogate sim 1.347418300000001
surrogate sim, dt 3.635106499999999