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Releases: markrogoyski/math-php

v1.4.0

03 Oct 07:26
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New Features

  • Multivariate Regular Grid Interpolation
  • Jensen-Shannon Distance
  • Canberra Distance
  • Search Sorted
  • Search ArgMax
  • Search NanArgMax
  • Search ArgMin
  • Serach NanArgMin
  • Search NonZero

Improvements

  • Divergence factored out of Distance into new Divergence class

Backwards Incompatible Changes

  • Legacy Distance divergences marked as deprecated (To be removed in v2.0.0)

v1.3.0

25 Aug 05:55
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New Features

  • LinearAlgebra\Vector
    • Angle between two vectors
    • L¹ distance of two vectors
    • L² distance of two vectors
    • Minkowski distance of two vectors
  • Statistics\Distance
    • Minkowski distance
    • Euclidean distance (L² distance)
    • Manhattan distance (Taxicab geometry, L¹ distance, etc.)
    • Cosine distance
    • Cosine similarity

v1.2.0

25 Jul 05:47
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New Features

  • Ranking
    • Ordinal ranking
    • Standard competition ranking
    • Modified competition ranking
    • Fractional ranking

Improvements

  • (Issue 380) Fixed Spearman's Rho calculation when there are rank ties

v1.1.0

20 Apr 00:23
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New Features

  • Arithmetic modulo

Improvements

  • Improved matrix multiplication performance using cache-oblivious algorithm optimization

v1.0.0

14 Apr 06:45
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Initial version 1.0.0 release!

v0.62.0

09 Apr 05:42
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v0.62.0 Pre-release
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Improvements

  • Internal improvements

v0.61.0

23 Mar 03:35
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v0.61.0 Pre-release
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New Features

  • Multivariate Hypergeometric distribution

V0.60.0

27 Feb 16:32
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V0.60.0 Pre-release
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New Features

  • Sample Data
    • MtCars
    • Iris
    • ToothGrowth
    • PlantGrowth
    • UsArrests

v0.59.0

19 Feb 15:00
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New Features

  • Add population and sample kurtosis
  • Changed default kurtosis algorithm to the more common population kurtosis
  • kurtosis now takes an optional parameter to set the kurtosis type algorithm

v0.58.0

07 Feb 06:45
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v0.58.0 Pre-release
Pre-release

Improvements

  • Changed default skewness algorithm to the more common sample skewness
  • skewness now takes an optional parameter to set the skewness type algorithm
  • Improvements to skewness algorithms