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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

Improve prediction performance and setup #17

Closed CodyRichter closed 3 years ago

CodyRichter commented 3 years ago

Removed standalone server required for each prediction model.

Improve prediction performance

Prepare for Kubernetes deployment

Fix client build + run error due to node-sass

codecov-io commented 3 years ago

Codecov Report

Merging #17 (a9de11c) into master (f5ce362) will increase coverage by 1.15%. The diff coverage is 36.36%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #17      +/-   ##
==========================================
+ Coverage   60.69%   61.85%   +1.15%     
==========================================
  Files          11       11              
  Lines         860      852       -8     
==========================================
+ Hits          522      527       +5     
+ Misses        338      325      -13
Impacted Files Coverage Δ
server/db_connection.py 37.58% <0.00%> (-0.82%) :arrow_down:
server/routers/training.py 26.72% <0.00%> (+0.45%) :arrow_up:
server/main.py 63.63% <27.27%> (-24.83%) :arrow_down:
server/routers/prediction.py 29.45% <50.00%> (+5.09%) :arrow_up:
server/dependency.py 100.00% <100.00%> (ø)

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