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Releases: JuliaAI/MLJBase.jl

v1.10.0

03 Nov 01:13
c5a770a

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MLJBase v1.10.0

Diff since v1.9.2

  • Add support for CategoricalArrays 1.0 and CategoricalDistributions 0.2. This changes the behaviour of the re-exported methods levels and unique, as applied to CategoricalArray and UnivariateFinite. Whereas previously these returned a vector of "raw" values, they now return a CategoricalVector. See these CategoricalArrays.jl release notes.

Merged pull requests:

  • Bump the compat requirements for CategoricalArrays and CategoricalDistributions (#1028) (@ablaom)
  • For a 1.10 release (#1030) (@ablaom)

v1.9.2

28 Oct 06:38
f80511f

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MLJBase v1.9.2

Diff since v1.9.1

Merged pull requests:

Closed issues:

  • show for nodes broken in Julia 1.12 (#1022)

v1.9.1

20 Oct 23:58
972ee95

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MLJBase v1.9.1

Diff since v1.9.0

Merged pull requests:

Closed issues:

  • Stop pirating show for NamedTuples (#1018)

v1.9.0

01 Sep 00:06
52e0570

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MLJBase v1.9.0

Diff since v1.8.2

For the release notes:

  • Allow tuples, in addition to vectors, when specifying resampling=... in evaluate/evaluate!, and fix a mistake in the error message for invalid resampling values (#1010)

Merged pull requests:

v1.8.2

19 Jul 08:06
b70bd11

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MLJBase v1.8.2

Diff since v1.8.1

Merged pull requests:

v1.8.1

25 Mar 11:27
94665de

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MLJBase v1.8.1

Diff since v1.8.0

Merged pull requests:

v1.8.0

25 Mar 04:19
98e11d6

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MLJBase v1.8.0

Diff since v1.7.0

  • Drop support for Julia versions < 1.10.

Merged pull requests:

  • Allow selectcols to have tuples as "indices" argument (#992) (@ablaom)
  • Update some compats and dump Julia 1.6 support in favor of new LTS release (#997) (@ablaom)
  • For a 1.7.1 (#998) (@ablaom)
  • Bump 0.8.0 (#999) (@ablaom)

Closed issues:

  • Document range scales better (#946)
  • selectcols should handle tuple input (#991)
  • Re-enable CompatHelper workflow (#993)

v1.7.0

19 Jul 02:14
4e8c087

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MLJBase v1.7.0

Diff since v1.6.0

Merged pull requests:

  • Relax restrictions on model type in resampling (evaluate!) (#985) (@ablaom)
  • For a 1.7 release (#988) (@ablaom)

v1.6.0

02 Jul 22:30
0849be7

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MLJBase v1.6.0

Diff since v1.5.0

  • (enhancment) Arrange that pipelines support transformers that need a target variable for training (#984)

Merged pull requests:

v1.5.0

24 Jun 23:25
5739a73

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MLJBase v1.5.0

Diff since v1.4.0

  • (enhancement) Add facility to specify a logger globally, with a setter default_logger(logger), and a getter default_logger() (#979)

Merged pull requests: