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meyer-lab / tHMM

A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
https://asmlab.org
MIT License
10 stars 1 forks source link

Faster estimator without numba #992

Closed aarmey closed 8 months ago

codecov[bot] commented 8 months ago

Codecov Report

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

Project coverage is 73.24%. Comparing base (83cda39) to head (bafd05b). Report is 4 commits behind head on master.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #992 +/- ## ========================================== + Coverage 71.60% 73.24% +1.63% ========================================== Files 28 28 Lines 1997 1981 -16 ========================================== + Hits 1430 1451 +21 + Misses 567 530 -37 ``` | [Flag](https://app.codecov.io/gh/meyer-lab/tHMM/pull/992/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=meyer-lab) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/meyer-lab/tHMM/pull/992/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=meyer-lab) | `73.24% <100.00%> (+1.63%)` | :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=meyer-lab#carryforward-flags-in-the-pull-request-comment) to find out more.

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