v0.20.4

MLJ v0.20.4

Diff since v0.20.3

• Bump the requirement for MLFlow to 0.4.2. This is technically breaking (but not marked as such because MLJFlow integration is considered expermental). With latest version of MLFlowClient installed, where previously you would define logger=MLJFlow.Logger("http://127.0.0.1:5000/") you must now do logger=MLJFlow.Logger("http://127.0.0.1:5000/api") or similar; see also https://github.com/JuliaAI/MLFlowClient.jl/releases/tag/v0.5.1.

Merged pull requests:

• Add PartionedLS.jl model to docs and browser (#1103) (@ablaom)
• Update documentation. No new release. (#1104) (@ablaom)
• Update ROADMAP.md (#1106) (@ablaom)
• Use repl language tag for sample (#1107) (@abhro)
• Update cheatsheet and workflow docs (#1109) (@ablaom)
• Force documentation updates. No new release. (#1112) (@ablaom)
• Updates now that MLJ.jl has been moved to the JuliaAI GitHub organization (#1113) (@DilumAluthge)
• Remove Telco example (#1114) (@ablaom)
• Suppress model-generated warnings in integration tests (#1115) (@ablaom)
• Upgrading MLJFlow.jl to v0.4.2 (#1118) (@pebeto)
• For a 0.20.4 release (#1120) (@ablaom)

Closed issues:

• Curated list of models (#716)
• Migrate MLJ from alan-turing-institute to JuliaAI? (#829)
• Update the binder demo for MLJ (#851)
• Add wrappers for clustering to get uniform interface (#982)
• Confusing Julia code in adding_models_for_general_use.md (#1061)
• feature_importances for Pipeline including XGBoost don't work (#1100)
• Current performance evaluation objects, recently added to TunedModel histories, are too big (#1105)
• Update cheat sheet instance of depracated @from_network code (#1108)