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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

leave out part of cross validation #944

Closed Farnazmdi closed 2 years ago

Farnazmdi commented 2 years ago
  1. The estimators are updated such that they ignore negative observations.
  2. During the calculation of pdf of observations, those cells with negative observation will get an equal probability to each state, this way they do not contribute to fitting.
codecov[bot] commented 2 years ago

Codecov Report

Merging #944 (8272613) into master (5a8d122) will increase coverage by 0.09%. The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master     #944      +/-   ##
==========================================
+ Coverage   80.95%   81.05%   +0.09%     
==========================================
  Files          26       26              
  Lines        2158     2169      +11     
==========================================
+ Hits         1747     1758      +11     
  Misses        411      411
Flag Coverage Δ
unittests 81.05% <100.00%> (+0.09%) :arrow_up:

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Impacted Files Coverage Δ
lineage/states/StateDistributionGamma.py 88.11% <100.00%> (+0.99%) :arrow_up:

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