search

VarIr / scikit-hubness

A Python package for hubness analysis and high-dimensional data mining
BSD 3-Clause "New" or "Revised" License
44 stars 9 forks source link

Maintenance: wheels, BaseEstimators, typos #107

Closed VarIr closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #107 (7d0fbc7) into main (ecc529d) will increase coverage by 0.00%. The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main     #107   +/-   ##
=======================================
  Coverage   94.83%   94.83%           
=======================================
  Files          33       33           
  Lines        2516     2517    +1     
  Branches      311      311           
=======================================
+ Hits         2386     2387    +1     
  Misses        100      100           
  Partials       30       30
Impacted Files Coverage Δ
skhubness/neighbors/_annoy.py 99.33% <ø> (ø)
skhubness/neighbors/_nmslib.py 89.28% <ø> (ø)
skhubness/reduction/_base.py 83.33% <100.00%> (+1.51%) :arrow_up:
skhubness/reduction/_dis_sim.py 98.70% <100.00%> (ø)
skhubness/reduction/_local_scaling.py 98.63% <100.00%> (ø)
skhubness/reduction/_mutual_proximity.py 95.71% <100.00%> (ø)

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 ecc529d...7d0fbc7. Read the comment docs.

VarIr commented 2 years ago

CI failure is unrelated spurious annoy imprecision.