yeah. all the problems i’m working right now is for classification tasks. but it’s easy to add the regression metric for crossvalidation. you can look at the skcrossvalidator.jl source (AutoMLPipeline.jl/skcrossvalidator.jl at master · IBM/AutoMLPipeline.jl · GitHub). I’m using these metrics: 3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.1.2 documentation.
i’ll create an issue to add regression support. I focus in classification as regression is more trivial to implement once classification workflow works. also, feel free to make a PR ;).
you can differentiate classifiers from regressors because their names contain a substring of either Classifier or Regressor .