alan-turing-institute/MLJ.jl: v0.11.1

MLJ v0.11.1 Diff since v0.11.0 Minor issues only: [x] #497 [x] Revise cheatsheet (#474) Closed issues: Add sample-weight interface point? (#177) Add default_measure to learning_curve! (#283) Flush out unsupervised models in "Adding models for general use" section of manual (#285) is_probabilistic=true in @pipeline syntax is clunky (#305) [suggestions] Unroll the network in @from_network (#311) Towards stabilisation of the core API (#318) failure on nightly (1.4) (#384) Documentation of extracting best fitted params (#386) incorporate input_scitype and target_scitype declarations for @pipeline models (#412) "Supervised" models with no predict method (#460) Use OpenML.load to iris data set in the Getting Started page of docs? (#461) Review cheatsheet (#474) Re-export UnsupervisedNetwork from MLJBase (#497) Broken link for MLJ tour in documentation (#501) Merged pull requests: For a 0.11.1 release (#506) (@ablaom