v0.8.6

MLJTuning v0.8.6

Diff since v0.8.5

• (new feature) Add logger option to TunedModel wrapper, for logging internal model evaluations to an ML tracking platform, such as MLflow via MLJFlow.jl. Default should be nothing for no logging (#193). The logger must support asynchronous messaging if TunedModel(model, ...) is specified with the option acceleration=CPUThreads() or CPUProcesses(). MLJFlow.jl 0.4.3 supports asynchronous messaging.

Merged pull requests:

• Adding loggers into TunedModels (#193) (@pebeto)
• For a 0.8.6 release (#218) (@ablaom)

Closed issues:

• Broken link (404) for each dependent link of the site https://alan-turing-institute.github.io (#217)