pub struct ForestOptions {
    pub n_trees: usize,
    pub sample_size: usize,
    pub max_tree_depth: Option<usize>,
    pub extension_level: usize,
}

Fields§

§n_trees: usize

n_trees is the number of trees to be created.

§sample_size: usize

sample_size is the number of samples of the training data to be used in creation of each tree. Must be smaller than training_data.len().

§max_tree_depth: Option<usize>

max_tree_depth is the max. allowed tree depth. This is by default set to average length of an unsuccessful search in a binary tree.

§extension_level: usize

extension_level specifies degree of freedom in choosing the hyperplanes for dividing up data. Must be smaller than the dimension n of the dataset.

Trait Implementations§

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