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UMass-Rescue / CombinedTechStack

Handle and process large amounts of media data with plug-and-play machine learning models
https://umass-rescue.github.io/CombinedTechStack/
MIT License
1 stars 1 forks source link

Text pipeline and text models #37

Closed barenla closed 3 years ago

barenla commented 3 years ago

It workes with the current UniversalMLObject architecture.

codecov-commenter commented 3 years ago

Codecov Report

Merging #37 (64a534a) into master (df838ce) will decrease coverage by 0.28%. The diff coverage is 17.64%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #37      +/-   ##
==========================================
- Coverage   58.73%   58.45%   -0.29%     
==========================================
  Files          11       11              
  Lines         916      917       +1     
==========================================
- Hits          538      536       -2     
- Misses        378      381       +3
Impacted Files Coverage Δ
server/db_connection.py 31.07% <ø> (ø)
server/routers/prediction.py 25.00% <12.50%> (-0.52%) :arrow_down:
server/dependency.py 100.00% <100.00%> (ø)

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