Struct RandomForestClassifierSearchParameters 

pub struct RandomForestClassifierSearchParameters {
    pub criterion: Vec<SplitCriterion>,
    pub max_depth: Vec<Option<u16>>,
    pub min_samples_leaf: Vec<usize>,
    pub min_samples_split: Vec<usize>,
    pub n_trees: Vec<u16>,
    pub m: Vec<Option<usize>>,
    pub keep_samples: Vec<bool>,
    pub seed: Vec<u64>,
}

RandomForestClassifier grid search parameters

Fields

criterion: Vec<SplitCriterion>

Split criteria to use when building a tree. See Decision Tree Classifier

max_depth: Vec<Option<u16>>

Tree max depth. See Decision Tree Classifier

min_samples_leaf: Vec<usize>

The minimum number of samples required to be at a leaf node. See Decision Tree Classifier

min_samples_split: Vec<usize>

The minimum number of samples required to split an internal node. See Decision Tree Classifier

n_trees: Vec<u16>

The number of trees in the forest.

m: Vec<Option<usize>>

Number of random sample of predictors to use as split candidates.

keep_samples: Vec<bool>

Whether to keep samples used for tree generation. This is required for OOB prediction.

seed: Vec<u64>

Seed used for bootstrap sampling and feature selection for each tree.

Trait Implementations

impl Clone for RandomForestClassifierSearchParameters

fn clone(&self) -> RandomForestClassifierSearchParameters

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RandomForestClassifierSearchParameters

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for RandomForestClassifierSearchParameters

fn default() -> Self

Returns the “default value” for a type.

impl IntoIterator for RandomForestClassifierSearchParameters

type Item = RandomForestClassifierParameters

The type of the elements being iterated over.

type IntoIter = RandomForestClassifierSearchParametersIterator

Which kind of iterator are we turning this into?

fn into_iter(self) -> Self::IntoIter

Creates an iterator from a value.