v0.20.3

MLJ v0.20.3

Diff since v0.20.2

• Bump compat for MLJFlow to 0.4 to buy into MLJBase.save method ambiguity fix (in MLJFlow 0.4.1).

Merged pull requests:

• Clarify input_scitype for Static models (#1076) (@ablaom)
• Documentation updates (#1077) (@ablaom)
• Add integration tests (#1079) (@ablaom)
• Test new integration tests. No new release. (#1080) (@ablaom)
• Fix the integration tests (#1081) (@DilumAluthge)
• Move EvoLinear into [extras] where it belongs (#1083) (@ablaom)
• CI: split the integration tests into a separate job (#1086) (@DilumAluthge)
• CI tweaks (#1087) (@ablaom)
• Update list_of_supported_models for betaml (#1089) (@sylvaticus)
• Update ModelDescriptors.toml for BetaML models (#1090) (@sylvaticus)
• Update documentation to reflect recent BetaML reorganisation (#1091) (@ablaom)
• Replace relevant sections of manual with links to the new MLJModelInterface docs. (#1095) (@ablaom)
• Update docs. No new release (#1096) (@ablaom)
• Update getting_started.md to avoid error from line 338 (#1098) (@caesquerre)
• For a 0.20.3 release (#1102) (@ablaom)

Closed issues:

• Meta issue: lssues for possible collaboration with UCL (#673)
• Integration test failures: Classifiers (#939)
• Oversample undersample (#983)
• Add AutoEncoderMLJ model (part of BetaML) (#1074)
• Add new model descriptors to fix doc-generation fail (#1084)
• Update list of BetaML models (#1088)
• Upate ROADMAP.md (#1093)
• Deserialisation fails for wrappers like TunedModel when atomic model overloads save/restore (#1099)