[−][src]Struct randomforests::RandomForest
Implements an ensemble of DecisionTree
s.
Methods
impl RandomForest
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pub fn build(
attribute: String,
config: TreeConfig,
data: &Dataset,
num_trees: usize,
subsample_size: usize
) -> RandomForest
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attribute: String,
config: TreeConfig,
data: &Dataset,
num_trees: usize,
subsample_size: usize
) -> RandomForest
Builds an ensemble of DecisionTree
by passing the data as a &Dataset
, the number of trees and
the data's subsample size.
pub fn predict(rf: RandomForest, item: Item) -> HashMap<Value, usize>
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Return the RandomForest
prediction for a question expressed as an Item
.
Auto Trait Implementations
impl Send for RandomForest
impl Sync for RandomForest
Blanket Implementations
impl<T> From for T
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impl<T, U> Into for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom for T where
U: Into<T>,
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U: Into<T>,
type Error = !
🔬 This is a nightly-only experimental API. (
try_from
)The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T> Borrow for T where
T: ?Sized,
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T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> BorrowMut for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T, U> TryInto for T where
U: TryFrom<T>,
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U: TryFrom<T>,