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Default parameters for the SCENIC GradientBoosting (GRNBoost2) regression learner

params_scenic_gradient_boosting_defaults.Rd

Default parameters for the SCENIC GradientBoosting (GRNBoost2) regression learner

Usage

params_scenic_gradient_boosting_defaults()

Value

A list with the following parameters:

  • n_trees_max - Integer. Maximum number of boosting rounds. Early stopping usually triggers well before this limit. Defaults to 1000L.

  • learning_rate - Numeric. Shrinkage applied to each tree's predictions. Defaults to 0.01.

  • max_depth - Integer. Maximum depth of each tree. Shallow trees (3-5) work best for GBM. Defaults to 3L.

  • min_samples_leaf - Integer. Minimum number of training samples required at a leaf node. Defaults to 50L.

  • early_stop_window - Integer. Number of recent OOB improvements to average for the early stopping criterion. Stops when the rolling average drops to zero or below. Defaults to 25L.

  • subsample_rate - Numeric. Fraction of samples used for training each tree. The complement forms the OOB set. Defaults to 0.9.

  • n_features_split - Integer. Number of features to evaluate per split. 0L means all features (recommended with histogram subtraction). Defaults to 0L.