elastic_net.yaml

# @package _global_

defaults:
  - base_nontorch

model:
  _target_: darts.models.forecasting.regression_model.RegressionModel
  model:
    _target_: sklearn.linear_model.ElasticNetCV

datamodule:
  precision: 64 # there is a bug with float32 and elasticNet (https://github.com/scikit-learn/scikit-learn/issues/21997)

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).