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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
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DOC add docstrings #25

Closed VarIr closed 5 years ago

codecov-io commented 5 years ago

Codecov Report

Merging #25 into develop will increase coverage by <.01%. The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           develop      #25      +/-   ##
===========================================
+ Coverage    98.93%   98.93%   +<.01%     
===========================================
  Files           51       51              
  Lines         4129     4133       +4     
  Branches       432      432              
===========================================
+ Hits          4085     4089       +4     
  Misses          24       24              
  Partials        20       20
Impacted Files Coverage Δ
skhubness/neighbors/tests/test_lof.py 97.87% <ø> (-0.02%) :arrow_down:
skhubness/neighbors/lof.py 100% <ø> (ø) :arrow_up:
skhubness/neighbors/classification.py 100% <ø> (ø) :arrow_up:
skhubness/neighbors/unsupervised.py 100% <ø> (ø) :arrow_up:
skhubness/neighbors/random_projection_trees.py 98.97% <ø> (ø) :arrow_up:
skhubness/reduction/base.py 100% <ø> (ø) :arrow_up:
skhubness/analysis/tests/test_estimation.py 99.44% <ø> (ø) :arrow_up:
skhubness/analysis/estimation.py 99.57% <ø> (ø) :arrow_up:
skhubness/neighbors/regression.py 100% <ø> (ø) :arrow_up:
skhubness/neighbors/graph.py 96.15% <ø> (ø) :arrow_up:
... and 4 more

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