[−][src]Struct randomforests::DecisionTree
Implements a DecisionTree
.
Methods
impl DecisionTree
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pub fn build(
_attribute: String,
config: &TreeConfig,
data: &mut Dataset
) -> Option<Box<DecisionTree>>
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_attribute: String,
config: &TreeConfig,
data: &mut Dataset
) -> Option<Box<DecisionTree>>
Build a decision tree with a String
attribute, a TreeConfig
and a dataset (a Vec<Item>
).
Return either a Some(DecisionTree)
, if successful, or None
if not.
pub fn predict(_tree: Option<Box<DecisionTree>>, item: Item) -> Option<Value>
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Return the DecisionTree
prediction for a question expressed as an Item
.
Auto Trait Implementations
impl Send for DecisionTree
impl Sync for DecisionTree
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>,