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mlr3shiny 0.3.0

• New algorithm evaluation metrics
• Adding new quiet preprocessing (robustify), fixing bugs in learner, evaluate and benchmarking
• Allowing import of different file types
• Fixing thresholding in twoclass classif
• Updating dependencies and fixing dependency bugs
• Adding xgboost learner
• Adding explain tab
• Adding code display option in predict tab

mlr3shiny 0.2

• Adding various new algorithm evaluation metrics
• Adding option to change default class for twoclass classifications
• Updating dependencies and fixing dependency bugs

mlr3shiny 0.1.1

• Initial upload to CRAN.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.