Struct Fitted Random Forest Classifier &nbsp; Copy item path

impl<F: Float> FittedRandomForestClassifier<F>

pub fn feature_importances(&self) -> Array1<F>

Feature importances averaged across all trees and normalized to sum to 1.

Each tree’s importances are computed in its own (possibly reduced) feature space, then mapped back to the original feature indices and averaged.

pub fn n_estimators(&self) -> usize

Number of trees in the forest.

pub fn predict_proba(&self, x: &Array2<F>) -> Result<Array2<F>>

Predict class probabilities for each sample.

Returns an Array2<F> of shape (n_samples, n_classes) where each row sums to 1.0. Probabilities are averaged across all trees in the forest.

pub fn oob_score(&self) -> Option<f64>

OOB accuracy score (only available when oob_score=true and bootstrap=true).

pub fn score(&self, x: &Array2<F>, y: &Array1<F>) -> Result<f64>

Compute classification accuracy on the given data.

pub fn classes(&self) -> Vec<F>

Returns the unique sorted class labels across all trees.

Trait Implementations§

impl<F: Clone + Float> Clone for FittedRandomForestClassifier<F>

fn clone(&self) -> FittedRandomForestClassifier<F>

Returns a duplicate of the value. Read more

1.0.0 (const: unstable) · Source§

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

Performs copy-assignment from source. Read more

impl<F: Debug + Float> Debug for FittedRandomForestClassifier<F>

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

Formats the value using the given formatter. Read more

impl<'de, F> Deserialize<'de> for FittedRandomForestClassifier<F>
where F: DeserializeOwned + Float,

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more

impl<F> Serialize for FittedRandomForestClassifier<F>
where F: Serialize + Float,

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where S: Serializer,

Serialize this value into the given Serde serializer. Read more

Auto Trait Implementations§

impl<F> Freeze for FittedRandomForestClassifier<F>

impl<F> RefUnwindSafe for FittedRandomForestClassifier<F>
where F: RefUnwindSafe,

impl<F> Send for FittedRandomForestClassifier<F>

impl<F> Sync for FittedRandomForestClassifier<F>

impl<F> Unpin for FittedRandomForestClassifier<F>
where F: Unpin,

impl<F> UnsafeUnpin for FittedRandomForestClassifier<F>

impl<F> UnwindSafe for FittedRandomForestClassifier<F>
where F: UnwindSafe,

Blanket Implementations§

impl<T> Any for T
where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

impl<T> Borrow<T> for T
where T: ?Sized,

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

impl<T> BorrowMut<T> for T
where T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
where ST: ?Sized, DT: ?Sized,

impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
where ST: ?Sized, DT: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

impl<T> DeserializeOwned for T
where T: for<'de> Deserialize<'de>,

impl<T> From<T> for T

fn from(t: T) -> T

Returns the argument unchanged.

impl<T, U> Into for T
where U: From<T>,

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more