Inspect results of training

[a-hanf]

Inspect results of training

[a-hanf]

Hi and thanks for your comment :)

The model is saved in the $learner slot. It is an AutoTuner from mlr3tuning (link to docs) which wraps a GraphLearner from mlr3pipelines (link to docs). You can use the $tuned_params method to view the hyperparameters selected during training:
model$tuned_params(). Let me know if there are any more questions around the methods and attributes.

For feature selection there are multiple options. One is to create a feature selection pipeline using mlr3pipelines and mlr3filters like in this example: link to docs. mlr3fselect could also be interesting for you (not sure it would be as easy to integrate into your mlr3automl pipeline).

[MislavSag]

Thanks. In meantime I realized there is an archive attribute inside learner and also figured out there is an tuned_params.

I have already implemented filters from mlr3filters , but can't figure out how to implement mlr3fselect inside graph (preprocessing). I have tried to find example in mlr3gallery but I have only found examples without pipelines. In the end I have decided to to feature selection outside of pipes (graph) and than use important features inside AutoML.