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Feat: implement Random Projections #332

Merged
merged 8 commits into from
Mar 30, 2024
Merged

Feat: implement Random Projections #332

merged 8 commits into from
Mar 30, 2024

Commits on Feb 17, 2024

  1. Add random projections algorithms for dimensionality reduction. 

    Contains two algorithms based on variants on the Johnson-lindenstrauss lemma:
- Random projections with Gaussian coefficients
- Sparse random projections with +/- 1 coefficients (multiplied by a scaling factor).
    @GBathie
    GBathie committed Feb 17, 2024
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  2. Merge branch 'master' of github.com:GBathie/linfa

    @GBathie
    GBathie committed Feb 17, 2024
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  3. Update readme

    @GBathie
    GBathie committed Feb 17, 2024
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Commits on Mar 1, 2024

  1. Add RNG to random projection structs 

    RNG defaults to Xoshiro256Plus if not provided by user.
Also added tests for minimum dimension using values from scikit-learn.
    @GBathie
    GBathie committed Mar 1, 2024
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  2. Check that random projections actually reduce the dimension of the data.

    @GBathie
    GBathie committed Mar 1, 2024
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  3. Use fixed dimension in error tests

    @GBathie
    GBathie committed Mar 1, 2024
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Commits on Mar 2, 2024

  1. Refactor random projections code

    @GBathie
    GBathie committed Mar 2, 2024
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Commits on Mar 30, 2024

  1. Merge branch 'master' into master

    @quietlychris
    quietlychris authored Mar 30, 2024
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