config_lasso_ee.yaml

---
training_parameters:
  algorithm: 'lasso'
  cross_validation_folds: 10
  get_learning_curve: True
  cross_valid_iters: 100
  store_model: True # if set, the model is pickled to the same dir as trainign data

training_data:
  X: 'D:\Research\Error_DFT\Data_fusion\Random_subset_training\Pickles\X_train.p'
  y: 'D:\Research\Error_DFT\Data_fusion\Random_subset_training\Pickles\y_train_u0_ee_kcal.p'
  target_label: 'E-E'
testing_data:
  X: 'D:\Research\Error_DFT\Data_fusion\Random_subset_training\Pickles\X_test.p'
  y: 'D:\Research\Error_DFT\Data_fusion\Random_subset_training\Pickles\y_test_u0_ee_kcal.p'

random_seeds:
  l_curve_seed: 421
  #split_from_training:  # if set , testing data is split from training data
  #  test_size: 0.50
  #  random_state: 4