alan-turing-institute/MLJ.jl: v0.18.3

MLJ v0.18.3 Diff since v0.18.2 Closed issues: Feature request: ability to convert scitype warnings into errors (#908) Confusing true_negative(x, y) error (#919) Show is too long for MulticlassPrecision and MulticlassTruePositiveRate (#923) DOC: Link giving 404 not found (#929) Re-export scitype_check_level (#936) models(matching(X, y)) returns empty but shouldn't (#937) LoadError on Getting Started Fit and Predict exercise (#940) Change in Julia version generating the Manifest.toml 's ? (#941) export PerformanceEvaluation (#944) Make docs regarding Random Forest and Ensebles more clear (#945) Compile time for DataFrames, typename hack not working (#946) Factor out performance evaluation tools (#947) Merged pull requests: Fix level of confidence interval in telco example to make it 95% (#938) (@ablaom) Update the list of models in the manual (#942) (@ablaom) Re-export default_scitype_check_level (#943) (@ablaom) Clarify homogeneous ensembles comments (#948) (@ablaom) For a 0.18.3 release (#949) (@ablaom