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Releases: JuliaGaussianProcesses/BayesianLinearRegressors.jl

v0.3.9

29 Aug 18:23
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BayesianLinearRegressors v0.3.9

Diff since v0.3.8

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Closed issues:

  • Would it make sense to unify BayesianLinearRegressor and BasisFunctionRegressor? (#37)

v0.3.8

16 Dec 12:17
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BayesianLinearRegressors v0.3.8

Diff since v0.3.7

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v0.3.7

28 Feb 12:19
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BayesianLinearRegressors v0.3.7

Diff since v0.3.6

Closed issues:

  • Store the cholesky of the precision matrix (#26)
  • Add function samples section to readme (#31)
  • Parametrizable non-linear feature mapping ϕ (#32)

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v0.3.6

07 Feb 23:11
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BayesianLinearRegressors v0.3.6

Diff since v0.3.5

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v0.3.5

10 Jan 02:02
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BayesianLinearRegressors v0.3.5

Diff since v0.3.4

Closed issues:

  • Use the AbstractVectors convention for inputs instead of matrices (#25)

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v0.3.4

01 Jan 00:43
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BayesianLinearRegressors v0.3.4

Diff since v0.3.3

Closed issues:

  • Sampling Functions (#22)

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v0.3.3

27 Aug 18:03
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BayesianLinearRegressors v0.3.3

Diff since v0.3.2

Merged pull requests:

  • CompatHelper: bump compat for AbstractGPs to 0.5, (keep existing compat) (#21) (@github-actions[bot])

v0.3.2

26 Aug 15:04
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BayesianLinearRegressors v0.3.2

Diff since v0.3.1

Merged pull requests:

  • Utilise test utils (#16) (@willtebbutt)
  • CompatHelper: bump compat for "AbstractGPs" to "0.4" (#17) (@github-actions[bot])

v0.3.1

19 Apr 13:18
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BayesianLinearRegressors v0.3.1

Diff since v0.3.0

v0.3.0

19 Apr 13:17
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BayesianLinearRegressors v0.3.0

Diff since v0.2.2

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