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Changelog

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Added or enhanced

  • Lower memory footprint for sparse targets in multilabel classification (previously converted to dense arrays) #61

Fixes

  • Hubness estimation could fail when ANN does not return enough neighbors #59
  • Heuristic to choose memory for Puffinn LSH.

Maintenance

  • Switch to modern Python packaging with pyproject.toml and setup.cfg
  • Switch to Github Actions, dropping Travis CI and AppVeyor

0.21.2 - 2020-01-14

This is a maintenance release due to the publication in the Journal of Open Source Software.

0.21.1 - 2019-12-10

This is a bugfix release due to the recent update of scikit-learn to v0.22.

Fixes

  • Require scikit-learn v0.21.3.

    Until the necessary adaptions for v0.22 are completed, scikit-hubness will require scikit-learn v0.21.3.

0.21.0 - 2019-11-25

This is the first major release of scikit-hubness.

Added

  • Enable ONNG provided by NGT (optimized ANNG). Pass optimize=True to LegacyNNG.
  • User Guide: Description of all subpackages and common usage scenarios.
  • Examples: Various usage examples
  • Several tests
  • Classes inheriting from SupervisedIntegerMixin can be fit with an ApproximateNearestNeighbor or NearestNeighbors instance, thus reuse precomputed indices.

Changes

  • Use argument algorithm='nng' for ANNG/ONNG provided by NGT instead of 'onng'. Also set optimize=True in order to use ONNG.

Fixes

  • DisSimLocal would previously fail when invoked as hubness='dis_sim_local'.
  • Hubness reduction would previously ignore verbose arguments under certain circumstances.
  • HNSW would previously ignore n_jobs on index creation.
  • Fix installation instructions for puffinn.

0.21.0a9 - 2019-10-30

Added

  • General structure for docs
  • Enable NGT OpenMP support on MacOS (in addition to Linux)
  • Enable Puffinn LSH also on MacOS

Fixes

  • Correct mutual proximity (empiric) calculation
  • Better handling of optional packages (ANN libraries)

Maintenance

  • streamlined CI builds
  • several minor code improvements

New contributors

  • Silvan David Peter

0.21.0a8 - 2019-09-12

Added

  • Approximate nearest neighbor search
    • LSH by an additional provider, puffinn (Linux only, atm)
    • ANNG provided by ngtpy (Linux, MacOS)
    • Random projection forests provided by annoy (Linux, MacOS, Windows)

Fixes

  • Several minor issues
  • Several documentations issues

0.21.0a7 - 2019-07-17

The first alpha release of scikit-hubness to appear in this changelog. It already contains the following features:

  • Hubness estimation (exact or approximate)
  • Hubness reduction (exact or approximate)
    • Mutual proximity
    • Local scaling
    • DisSim Local
  • Approximate nearest neighbor search