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SUNCAT-Center / CatLearn / 257 / 2
74%
master: 74%

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DEFAULT BRANCH: master
Ran 05 Feb 2019 12:00AM UTC
Files 90
Run time 25min
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04 Feb 2019 11:48PM UTC coverage: 74.927% (-2.0%) from 76.932%
257.2

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Merge mlneb mlmin (#66)

* Toy model gradient updated (Jupyter Notebook)

* Minor changes. Updated toy models.

* Toy models tested and changed name to CatLearn.

* Ml min and ml neb update merge (#1)

- Updated ML-NEB. Algorithm robustness improved. The user can feed an initial NEB path as a list of Atoms or trajectory file in the "interpolation" flag. 
- Added an algorithm for atomic structural optimization (ML-Min).
- Removed dependencies prettytables and pandas in the optimize module.

* Mod. io fixed to avoid Trajectory (use of read instead).

5110 of 6820 relevant lines covered (74.93%)

0.75 hits per line

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