globus-labs / faster-molecular-hessians / 7331450167
97%
main: 97%

LAST BUILD BRANCH: aurora
DEFAULT BRANCH: main
Ran
Jobs 1
Files 20
Run time 2s
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coverage: 97.368% (+0.7%) from 96.675%
7331450167

Pull #39

github

WardLT 
Use per-atom scaling in train, add patience to training
Pull Request #39: Use per-element ML models for local descriptors

53 of 55 new or added lines in 1 file covered. (96.36%)

2 existing lines in 2 files now uncovered.

777 of 798 relevant lines covered (97.37%)

0.97 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
2
97.92
 -1.16% jitterbug/model/dscribe/local.py

Uncovered Existing Lines

Lines Coverage ∆ File
1
98.8
 3.24% jitterbug/cli.py
1
96.15
 -0.27% jitterbug/parsl.py
Jobs
ID Job ID Ran Files Coverage
1 7331450167.1 20
97.37
Source Files on build 7331450167