tuning_search_params

Description

This section configures the specifics of the hyperparameter tuning process. By setting parameters here, you can customize how the tuning operates, including the number of iterations, the search method, and evaluation criteria.

Steps impacted

training

Example

tuning_search_params:
  n_estimators:
  - 50
  - 500
  max_depth:
  - 2
  - 7
  learning_rate:
  - 0.05
  - 1.0
  min_samples_split:
  - 2
  - 5
  min_samples_leaf:
  - 1
  - 5
  min_weight_fraction_leaf:
  - 0.0
  - 0.3