v1.5.1

• v1.5.1: fixed a device bug in TabM for GPU
• v1.5.0:
  • added n_repeats parameter to scikit-learn interfaces for repeated cross-validation
  • HPO sklearn interfaces (the ones using random search)
    can now do weighted ensembling instead by setting use_caruana_ensembling=True.
    Removed the RealMLP_Ensemble_Classifier and RealMLP_Ensemble_Regressor from v1.4.2
    since they are now redundant through this feature.
  • renamed space parameter of GBDT HPO interface
    to hpo_space_name so now it also works with non-TPE versions.
  • Added new TabArena search spaces for boosted trees (not TPE),
    which should be almost equivalent to the ones from TabArena
    except for the early stopping logic.
  • TabM now supports val_metric_name for early stopping on different metrics.
  • fixed issues #20 and #21 regarding HPO
  • small updates for the "Rethinking Early Stopping" paper