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)