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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
9 stars 1 forks source link

Make fitting reproducible #965

Closed aarmey closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #965 (2c121c9) into master (e15363d) will increase coverage by 0.09%. The diff coverage is 93.61%.

@@            Coverage Diff             @@
##           master     #965      +/-   ##
==========================================
+ Coverage   74.83%   74.93%   +0.09%     
==========================================
  Files          26       26              
  Lines        2154     2174      +20     
==========================================
+ Hits         1612     1629      +17     
- Misses        542      545       +3
Flag Coverage Δ
unittests 74.93% <93.61%> (+0.09%) :arrow_up:

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Impacted Files Coverage Δ
lineage/Lineage_collections.py 0.00% <0.00%> (ø)
lineage/Analyze.py 93.87% <100.00%> (+0.06%) :arrow_up:
lineage/BaumWelch.py 89.24% <100.00%> (+0.61%) :arrow_up:
lineage/LineageTree.py 100.00% <100.00%> (ø)
lineage/tests/test_BaumWelch.py 100.00% <100.00%> (ø)
lineage/tests/test_CrossVal.py 100.00% <100.00%> (ø)
lineage/tests/test_LineageTree.py 96.47% <100.00%> (ø)
lineage/tests/test_StateDistribution.py 95.83% <100.00%> (ø)
lineage/tests/test_StateEstimation.py 100.00% <100.00%> (ø)
lineage/tests/test_Viterbi.py 100.00% <100.00%> (ø)
... and 1 more

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