v0.20.12

MLJBase v0.20.12

Diff since v0.20.11

• (enhancement) Add support for model operations (such as transform) that return extra information for merging into machine reports (#806)

Merged pull requests:

• Proposal to add support to allow non-generalizing models to contribute to a machine's report (#806) (@ablaom)
• For a 0.20.12 release (#808) (@ablaom)

v0.20.11

MLJBase v0.20.11

Diff since v0.20.10

Merged pull requests:

• For a 0.20.11 release (#805) (@ablaom)

v0.20.10

MLJBase v0.20.10

Diff since v0.20.9

Closed issues:

• Incorrect display of one-dimensional range in case of scaling function (#797)

Merged pull requests:

• Fix inverse_transform bug for pipelines with Static components (#802) (@ablaom)
• Fix show for one-dimensional ranges (#803) (@ablaom)
• For a 0.20.10 release (#804) (@ablaom)

v0.20.9

MLJBase v0.20.9

Diff since v0.20.8

Merged pull requests:

• Bump compat MLJModelInterface = "1.5" (#800) (@ablaom)
• For a 0.20.9 release (#801) (@ablaom)

v0.20.8

MLJBase v0.20.8

Diff since v0.20.7

• (enhancement) Add support for feature importances (#798) @OkonSamuel

Merged pull requests:

• Remove apparatus to anonymize composite model fitresults (#795) (@ablaom)
• Add feature_importances machine inspection method. (#798) (@OkonSamuel)
• For a 0.20.8 release (#799) (@ablaom)

v0.20.7

MLJBase v0.20.7

Diff since v0.20.6

Closed issues:

• Handling of NaN micro/macro aggregation (#630)

Merged pull requests:

• Skip NaN in averaging in MulticlassFScore (#792) (@ablaom)
• Fix bugs and inconsistencies in documentation on evaluate!s resampling keyword (#793) (@wolthom)
• For a 0.20.7 release (#794) (@ablaom)

v0.20.6

MLJBase v0.20.6

Diff since v0.20.5

• (enhancement) Support mulithreaded training of learning networks. Call as in fit!(node, acceleration=CPUThreads()) (#785) @olivierlabayle
• (enhancement) Create interface point for specifying acceleration mode when "exporting" a learning network as new model type, by supporting acceleration as keyword argument of return! method (#785) @olivierlabayle
• (enhancement) Add acceleration and cache fields to Stack type (#785) @olivierlabayle

Merged pull requests:

• Stack cache and acceleration (rebased) (#785) (@ablaom)
• For a 0.20.6 release (#788) (@ablaom)

v0.20.5

MLJBase v0.20.5

Diff since v0.20.4

Closed issues:

• unpack error (#777)
• typename method for AbstractDataFrame incorrect equality (#784)

Merged pull requests:

• closes #784 by fixing typename + tests (#786) (@tlienart)
• For a 0.20.5 release (#787) (@ablaom)

v0.20.4

MLJBase v0.20.4

Diff since v0.20.3

• bump compat for LossFunctions.jl dependency.

Merged pull requests:

• Fix typo (#771) (@KronosTheLate)
• Bump LossFunctions.jl (#773) (@juliohm)
• bump 0.20.4 (#774) (@OkonSamuel)
• For 0.20.4 release (#776) (@OkonSamuel)

v0.20.3

MLJBase v0.20.3

Diff since v0.20.2

• Add a standard error column to the display of PerformanceEvaluation objects (as returned by evaluate!/evaluate) (#766) @rikhuijzer

Merged pull requests:

• Add std to show for PerformanceEvaluation (#766) (@rikhuijzer)
• Make running tests via TestEnv easier (#769) (@rikhuijzer)
• For a 0.20.3 release (#770) (@ablaom)