search

deeptime-ml / deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
https://deeptime-ml.github.io/
GNU Lesser General Public License v3.0
757 stars 84 forks source link

Implied timescales plot #200

Closed clonker closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #200 (2acd930) into main (78b94b3) will increase coverage by 0.03%. The diff coverage is 93.75%.

Impacted file tree graph

@@            Coverage Diff             @@
##             main     #200      +/-   ##
==========================================
+ Coverage   93.57%   93.61%   +0.03%     
==========================================
  Files         131      134       +3     
  Lines       10544    10644     +100     
==========================================
+ Hits         9867     9964      +97     
- Misses        677      680       +3
Impacted Files Coverage Δ
deeptime/plots/chapman_kolmogorov.py 0.00% <0.00%> (ø)
deeptime/util/_validation.py 90.69% <ø> (ø)
deeptime/util/stats.py 95.55% <87.50%> (+0.17%) :arrow_up:
.../estimation/dense/tmat_sampling/tmatrix_sampler.py 91.89% <88.88%> (+1.89%) :arrow_up:
deeptime/plots/implied_timescales.py 97.40% <97.40%> (ø)
deeptime/__init__.py 100.00% <100.00%> (ø)
deeptime/data/_drunkards_walk_simulator.py 95.37% <100.00%> (ø)
deeptime/decomposition/_koopman.py 91.60% <100.00%> (+0.10%) :arrow_up:
deeptime/decomposition/_vamp.py 94.52% <100.00%> (ø)
deeptime/markov/_base.py 99.20% <100.00%> (+1.68%) :arrow_up:
... and 11 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 78b94b3...2acd930. Read the comment docs.