base_regression.yaml

# @package _global_

defaults:
  - base_nontorch

model:
  _target_: ???

eval:
  kwargs:
    retrain: False # By default, models are retrained (causually, i.e. when predicting sample 100 it is trained on samples 1-99) on dataset when evaluated (val/test).