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

MAINT rename project to scikit-hubness, and package to skhubness #12

Closed VarIr closed 5 years ago

lgtm-com[bot] commented 5 years ago

This pull request introduces 1 alert and fixes 1 when merging 3e173871d5ea941c05ed457654b0b17f75ebd59e into 7fa1098af9b41d4ab27a78500aa9e09716d341f4 - view on LGTM.com

new alerts:

fixed alerts:

codecov-io commented 5 years ago

Codecov Report

Merging #12 into master will increase coverage by <.01%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #12      +/-   ##
==========================================
+ Coverage   96.77%   96.77%   +<.01%     
==========================================
  Files          46       46              
  Lines        3504     3506       +2     
  Branches      369      369              
==========================================
+ Hits         3391     3393       +2     
  Misses         78       78              
  Partials       35       35
Impacted Files Coverage Δ
skhubness/reduction/dummy.py 50% <ø> (ø)
skhubness/data/load_dataset.py 100% <ø> (ø)
skhubness/reduction/scaling.py 91.66% <ø> (ø)
skhubness/neighbors/lsh.py 96.52% <ø> (ø)
skhubness/neighbors/dist_metrics.py 100% <ø> (ø)
skhubness/reduction/norms.py 0% <ø> (ø)
skhubness/reduction/centering.py 0% <ø> (ø)
skhubness/neighbors/approximate_neighbors.py 80.76% <ø> (ø)
skhubness/neighbors/hnsw.py 100% <ø> (ø)
skhubness/neighbors/kd_tree.py 100% <ø> (ø)
... and 37 more

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 7fa1098...95c69b4. Read the comment docs.

codecov-io commented 5 years ago

Codecov Report

Merging #12 into master will increase coverage by <.01%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #12      +/-   ##
==========================================
+ Coverage   96.77%   96.77%   +<.01%     
==========================================
  Files          46       46              
  Lines        3504     3506       +2     
  Branches      369      369              
==========================================
+ Hits         3391     3393       +2     
  Misses         78       78              
  Partials       35       35
Impacted Files Coverage Δ
skhubness/reduction/dummy.py 50% <ø> (ø)
skhubness/data/load_dataset.py 100% <ø> (ø)
skhubness/reduction/scaling.py 91.66% <ø> (ø)
skhubness/neighbors/lsh.py 96.52% <ø> (ø)
skhubness/neighbors/dist_metrics.py 100% <ø> (ø)
skhubness/reduction/norms.py 0% <ø> (ø)
skhubness/reduction/centering.py 0% <ø> (ø)
skhubness/neighbors/approximate_neighbors.py 80.76% <ø> (ø)
skhubness/neighbors/hnsw.py 100% <ø> (ø)
skhubness/neighbors/kd_tree.py 100% <ø> (ø)
... and 37 more

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 7fa1098...76f95e9. Read the comment docs.

lgtm-com[bot] commented 5 years ago

This pull request introduces 1 alert and fixes 1 when merging 95c69b4fdc0c27d5a9c4ae6f3ba6656886333808 into 7fa1098af9b41d4ab27a78500aa9e09716d341f4 - view on LGTM.com

new alerts:

fixed alerts: