Struct RandomForestClassifierOptions

pub struct RandomForestClassifierOptions { /* private fields */ }

Random forest options.

Implementations

impl RandomForestClassifierOptions

pub fn new() -> Self

Makes a RandomForestClassifierOptions instance with the default settings.

pub fn seed(&mut self, seed: u64) -> &mut Self

Sets the random generator seed.

The default value is random.

pub fn trees(&mut self, trees: NonZeroUsize) -> &mut Self

Sets the number of decision trees.

The default value is 100.

pub fn max_features(&mut self, max: NonZeroUsize) -> &mut Self

Sets the number of maximum candidate features used to determine each decision tree node.

The default value is sqrt(the number of features).

pub fn max_samples(&mut self, max: NonZeroUsize) -> &mut Self

Sets the maximum number of samples used to train each decision tree.

The default value is the number of rows in the target table.

pub fn parallel(&mut self) -> &mut Self

Enables parallel executions of RandomForestClassifier::fit.

This library use rayon for parallel execution. Please see the rayon document if you want to configure the behavior (e.g., the number of worker threads).

pub fn fit<T: ClassificationCriterion>( &self, criterion: T, table: Table<'_>, ) -> RandomForestClassifier

Builds a classifier model fitting the given table.

Trait Implementations

impl Clone for RandomForestClassifierOptions

fn clone(&self) -> RandomForestClassifierOptions

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RandomForestClassifierOptions

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

Formats the value using the given formatter.

impl Default for RandomForestClassifierOptions

fn default() -> RandomForestClassifierOptions

Returns the “default value” for a type.