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

new tram notebook version #210

Closed MaaikeG closed 2 years ago

MaaikeG commented 2 years ago

Thanks for submitting a PR, your contribution is really appreciated!

Here's a quick checklist that should be present in PRs:

codecov[bot] commented 2 years ago

Codecov Report

Merging #210 (df06892) into main (a5e488f) will decrease coverage by 0.06%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##             main     #210      +/-   ##
==========================================
- Coverage   93.81%   93.75%   -0.07%     
==========================================
  Files         136      136              
  Lines       10782    10789       +7     
==========================================
  Hits        10115    10115              
- Misses        667      674       +7
Impacted Files Coverage Δ
deeptime/markov/msm/_bayesian_msm.py 89.41% <0.00%> (-4.10%) :arrow_down:
deeptime/markov/msm/tram/_tram.py 96.34% <0.00%> (-2.44%) :arrow_down:
deeptime/markov/msm/_maximum_likelihood_msm.py 94.89% <0.00%> (-0.64%) :arrow_down:
deeptime/markov/tools/estimation/api.py 95.55% <0.00%> (-0.31%) :arrow_down:
...markov/tools/estimation/sparse/effective_counts.py 91.37% <0.00%> (-0.08%) :arrow_down:
deeptime/markov/tools/flux/api.py 98.75% <0.00%> (-0.02%) :arrow_down:
deeptime/markov/_base.py 100.00% <0.00%> (ø)
deeptime/plots/chapman_kolmogorov.py 93.87% <0.00%> (ø)
deeptime/util/validation.py 97.51% <0.00%> (+0.01%) :arrow_up:
deeptime/markov/msm/_markov_state_model.py 97.12% <0.00%> (+0.02%) :arrow_up:
... and 1 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 a5e488f...df06892. Read the comment docs.