NEWS.md

In LamaTe/mlr3shiny: Machine Learning in 'shiny' with 'mlr3'

mlr3shiny 0.5.5

• Adding loading animations to visualizations due to potential long waiting times
• Some fixes

mlr3shiny 0.5.4

• Adding explanatory labels to learner parameters
• Minor changes to make UI more user friendly

mlr3shiny 0.5.3

• Fixed Hyperparameters for SVM and XGBoost

mlr3shiny 0.5.2

• Added message to also think of robustifications steps, when model training fails

mlr3shiny 0.5.1

• Improved Message when trying to visualise tree with only one node
• Less aggressive alert-waning color

mlr3shiny 0.5.0

• Updated to new ParamSet backbone
• Some warning messages are now less aggressive
• Some fixes

mlr3shiny 0.4.0

• Adding option to visualize objects in Tabs Predict and Task
• Adding option to create custom label for learners
• Several fixes

mlr3shiny 0.3.1

• Migrating explain tab from iml to DALEX + additonal options
• Adding option to select robustify parameters
• Adding import of different file types also for predict tab
• Readability of displayed code improved
• Several fixes

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.

LamaTe/mlr3shiny documentation built on April 11, 2025, 11:03 p.m.