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Releases: JuliaAI/MLJTuning.jl

v0.6.10

28 Jul 05:02
d5d7beb
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MLJTuning v0.6.10

Diff since v0.6.9

  • (enhancement) Allow the use of models of varying type in the Explicit strategy and provide a convenient syntax TundedModel(models=..., ) (#142)

Closed issues:

  • Improve the Explicit strategy (#141)

Merged pull requests:

v0.6.9

13 Jul 03:39
b1f8d19
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MLJTuning v0.6.9

Diff since v0.6.8

Closed issues:

  • Add a method to check invariants of a tuning strategy (#135)

Merged pull requests:

v0.6.8

11 Jun 03:49
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MLJTuning v0.6.8

Diff since v0.6.7

Merged pull requests:

  • Add a model buffer to save surplus models generated by models (#131) (@ablaom)

v0.6.7

31 May 06:08
da9364b
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MLJTuning v0.6.7

Diff since v0.6.6

Closed issues:

  • Incrementing n by 1 is adding 2 models to history (#128)

Merged pull requests:

v0.6.6

28 May 05:17
a5e4448
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MLJTuning v0.6.6

Diff since v0.6.5

Merged pull requests:

  • CompatHelper: bump compat for "Distributions" to "0.25" (#125) (@github-actions[bot])

v0.6.5

21 Apr 04:56
267a16f
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MLJTuning v0.6.5

Diff since v0.6.4

  • (enhancement) Make plotting for machines bound to TunedModel instances work for more than two hyper-parameters (#41, PR #121)
  • Extend compatibility for MLJModelInterface to include version 1.0

Closed issues:

  • Add plot recipe for visualising multiple hyperparameter tuning outcomes (#41)

Merged pull requests:

  • WIP: Add plot recipe to support arbitrary number of hyperparameters (#121) (@lhnguyen-vn)
  • CompatHelper: bump compat for "MLJModelInterface" to "1.0" (#122) (@github-actions[bot])
  • For a 0.6.5 release (#123) (@ablaom)
  • extend compat for MLJModelInterface (#124) (@ablaom)

v0.6.4

30 Mar 05:54
83f58c9
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MLJTuning v0.6.4

Diff since v0.6.3

  • Extend compat for MLJBase to ^0.17.7, ^0.18

Merged pull requests:

v0.6.3

23 Mar 05:15
b2b9f0c
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MLJTuning v0.6.3

Diff since v0.6.2

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v0.6.2

19 Feb 05:24
c44a972
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MLJTuning v0.6.2

Diff since v0.6.1

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v0.6.1

26 Jan 05:05
e938e5b
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MLJTuning v0.6.1

Diff since v0.6.0

Merged pull requests: