[−][src]Struct linfa_linear::ols::FittedLinearRegression
A fitted linear regression model which can be used for making predictions.
Implementations
impl<A: Scalar + ScalarOperand> FittedLinearRegression<A>[src]
View the fitted parameters and make predictions with a fitted linear regresssion model.
pub fn predict(&self, X: &Array2<A>) -> Array1<A>[src]
Given an input matrix X, with shape (n_samples, n_features),
predict returns the target variable according to linear model
learned from the training data distribution.
pub fn params(&self) -> &Array1<A>[src]
Get the fitted parameters
pub fn intercept(&self) -> A[src]
Get the fitted intercept, 0. if no intercept was fitted
Auto Trait Implementations
impl<A> RefUnwindSafe for FittedLinearRegression<A> where
A: RefUnwindSafe,
A: RefUnwindSafe,
impl<A> Send for FittedLinearRegression<A> where
A: Send,
A: Send,
impl<A> Sync for FittedLinearRegression<A> where
A: Sync,
A: Sync,
impl<A> Unpin for FittedLinearRegression<A> where
A: Unpin,
A: Unpin,
impl<A> UnwindSafe for FittedLinearRegression<A> where
A: RefUnwindSafe + UnwindSafe,
A: RefUnwindSafe + UnwindSafe,
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized, [src]
T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T[src]
impl<T> From<T> for T[src]
impl<T, U> Into<U> for T where
U: From<T>, [src]
U: From<T>,
impl<T> SendSyncUnwindSafe for T where
T: Send + Sync + UnwindSafe + ?Sized,
T: Send + Sync + UnwindSafe + ?Sized,
impl<T, U> TryFrom<U> for T where
U: Into<T>, [src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>[src]
impl<T, U> TryInto<U> for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>[src]
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,