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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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ENH hubness estimation with all measures but Gini #63

Closed VarIr closed 4 years ago

VarIr commented 4 years ago

The Gini index is computation-heavy, especially for large indexes. This introduces the Hubness(return_value='all_but_gini') parameter value, which computes and returns all hubness measures but the Gini index.

codecov[bot] commented 4 years ago

Codecov Report

Merging #63 into master will decrease coverage by 0.02%. The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master      #63      +/-   ##
==========================================
- Coverage   99.06%   99.04%   -0.03%     
==========================================
  Files          57       57              
  Lines        4598     4593       -5     
  Branches      518      512       -6     
==========================================
- Hits         4555     4549       -6     
  Misses         24       24              
- Partials       19       20       +1
Impacted Files Coverage Δ
skhubness/analysis/estimation.py 99.57% <100.00%> (-0.03%) :arrow_down:
skhubness/analysis/tests/test_estimation.py 99.50% <100.00%> (+0.03%) :arrow_up:
skhubness/neighbors/tests/test_neighbors.py 99.78% <0.00%> (-0.11%) :arrow_down:

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