Ipynb benchmarking - Githubissues

nasa / progpy

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

https://nasa.github.io/progpy/

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Ipynb benchmarking #2

Closed aqitya closed 1 year ago

aqitya commented 1 year ago

Jupyter Notebook for Benchmarking Example.

github-actions[bot] commented 1 year ago

Thank you for opening this PR. Each PR into dev requires a code review. For the code review, look at the following:

[ ] Reviewer (someone other than author) should look for bugs, efficiency, readability, testing, and coverage in examples (if relevant).
[ ] Ensure that each PR adding a new feature should include a test verifying that feature.
[ ] All errors from static analysis must be resolved.
[ ] Review the test coverage reports (if there is a change) - will be added as comment on PR if there is a change
[ ] Review the software benchmarking results (if there is a change) - will be added as comment on PR
[ ] Any added dependencies are included in requirements.txt, setup.py, and dev_guide.rst (this document)
[ ] All warnings from static analysis must be reviewed and resolved - if deemed appropriate.

codecov-commenter commented 1 year ago

Codecov Report

Merging #2 (5309a9b) into dev (334b190) will not change coverage. Report is 19 commits behind head on dev. The diff coverage is n/a.

@@           Coverage Diff           @@
##              dev       #2   +/-   ##
=======================================
  Coverage   84.17%   84.17%           
=======================================
  Files          99       99           
  Lines       10106    10106           
=======================================
  Hits         8507     8507           
  Misses       1599     1599

github-advanced-security[bot] commented 1 year ago

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