v0.8.5

MLJTuning v0.8.5

Diff since v0.8.4

• Write the PerformanceEvaluation objects computed for each model (hyper-parameter set) to the history, or write compact versions of the same (CompactPeformanceEvaluation objects) by providing TunedModel(...) a new option compact_history=true. The evaluation objects are accessed like this: evaluation = report(mach).history[index].evaluation, where mach is a machine associated with the TunedModel instance. For more on the differences between PerformanceEvaluation and CompactPerformanceEvaluation objects, refer to their document strings. (In MLJTuning 0.5.3 and 0.5.4 an experimental feature already introduced PerformanceEvalution objects to the history, but with no option to write the compact form. In the current release, compact objects are written by default.)

Merged pull requests:

• Create option to write CompactPerformanceEvaluation objects to history (#215) (@ablaom)
• For a 0.8.5 release (#216) (@ablaom)