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VarIr / scikit-hubness

A Python package for hubness analysis and high-dimensional data mining
BSD 3-Clause "New" or "Revised" License
44 stars 10 forks source link

Cleanup #43

Closed sildater closed 4 years ago

sildater commented 4 years ago

delete travis/install-build-ngtpy.sh

codecov-io commented 4 years ago

Codecov Report

Merging #43 into master will increase coverage by 0.05%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #43      +/-   ##
==========================================
+ Coverage   98.79%   98.84%   +0.05%     
==========================================
  Files          54       54              
  Lines        4384     4405      +21     
  Branches      485      483       -2     
==========================================
+ Hits         4331     4354      +23     
+ Misses         28       27       -1     
+ Partials       25       24       -1
Impacted Files Coverage Δ
skhubness/neighbors/graph.py 96.15% <ø> (ø) :arrow_up:
skhubness/neighbors/tests/test_lof.py 98.03% <100%> (+1.44%) :arrow_up:
skhubness/neighbors/tests/test_neighbors.py 99.68% <100%> (ø) :arrow_up:
skhubness/reduction/local_scaling.py 100% <100%> (ø) :arrow_up:
skhubness/reduction/tests/test_mutual_proximity.py 100% <100%> (ø) :arrow_up:
skhubness/neighbors/random_projection_trees.py 98.88% <100%> (-0.1%) :arrow_down:
skhubness/neighbors/lsh.py 96.82% <100%> (-0.13%) :arrow_down:
skhubness/reduction/mutual_proximity.py 100% <100%> (ø) :arrow_up:
skhubness/neighbors/onng.py 100% <100%> (ø) :arrow_up:
skhubness/reduction/__init__.py 100% <100%> (ø) :arrow_up:

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VarIr commented 4 years ago

Thanks for the PR. This script is indeed not required anymore.