CDCgov / multisignal-epi-inference

Python package for statistical inference and forecast of epi models using multiple signals
https://cdcgov.github.io/multisignal-epi-inference/
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Create a dockerfile for running the model code locally or in azure #107

Closed gvegayon closed 1 month ago

gvegayon commented 1 month ago
codecov[bot] commented 1 month ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 92.03%. Comparing base (524f708) to head (938a760). Report is 2 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #107 +/- ## ========================================== + Coverage 91.48% 92.03% +0.54% ========================================== Files 33 34 +1 Lines 634 665 +31 ========================================== + Hits 580 612 +32 + Misses 54 53 -1 ``` | [Flag](https://app.codecov.io/gh/CDCgov/multisignal-epi-inference/pull/107/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CDCgov) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/CDCgov/multisignal-epi-inference/pull/107/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CDCgov) | `92.03% <ø> (+0.54%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=CDCgov#carryforward-flags-in-the-pull-request-comment) to find out more.

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