pub struct LinearScalerParams<F: Float> { /* private fields */ }Expand description
Linear Scaler: learns scaling parameters, according to the specified method, from a dataset, producing a fitted linear scaler that can be used to scale different datasets using the same parameters.
Example
use linfa::traits::{Fit, Transformer};
use linfa_preprocessing::linear_scaling::LinearScaler;
// Load dataset
let dataset = linfa_datasets::diabetes();
// Learn scaling parameters
let scaler = LinearScaler::standard().fit(&dataset).unwrap();
// scale dataset according to parameters
let dataset = scaler.transform(dataset);Implementations
sourceimpl<F: Float> LinearScalerParams<F>
impl<F: Float> LinearScalerParams<F>
sourcepub fn new(method: ScalingMethod<F>) -> Self
pub fn new(method: ScalingMethod<F>) -> Self
Initializes the scaler with the specified method.
sourcepub fn method(self, method: ScalingMethod<F>) -> Self
pub fn method(self, method: ScalingMethod<F>) -> Self
Setter for the scaler method
Trait Implementations
sourceimpl<F: Clone + Float> Clone for LinearScalerParams<F>
impl<F: Clone + Float> Clone for LinearScalerParams<F>
sourcefn clone(&self) -> LinearScalerParams<F>
fn clone(&self) -> LinearScalerParams<F>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source. Read more
sourceimpl<F: Debug + Float> Debug for LinearScalerParams<F>
impl<F: Debug + Float> Debug for LinearScalerParams<F>
sourceimpl<F: Float, D: Data<Elem = F>, T: AsTargets> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, PreprocessingError> for LinearScalerParams<F>
impl<F: Float, D: Data<Elem = F>, T: AsTargets> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, PreprocessingError> for LinearScalerParams<F>
sourcefn fit(&self, x: &DatasetBase<ArrayBase<D, Ix2>, T>) -> Result<Self::Object>
fn fit(&self, x: &DatasetBase<ArrayBase<D, Ix2>, T>) -> Result<Self::Object>
Fits the input dataset accordng to the scaler method. Will return an error if the dataset does not contain any samples or (in the case of MinMax scaling) if the specified range is not valid.
type Object = LinearScaler<F>
sourceimpl<F: PartialEq + Float> PartialEq<LinearScalerParams<F>> for LinearScalerParams<F>
impl<F: PartialEq + Float> PartialEq<LinearScalerParams<F>> for LinearScalerParams<F>
sourcefn eq(&self, other: &LinearScalerParams<F>) -> bool
fn eq(&self, other: &LinearScalerParams<F>) -> bool
This method tests for self and other values to be equal, and is used
by ==. Read more
sourcefn ne(&self, other: &LinearScalerParams<F>) -> bool
fn ne(&self, other: &LinearScalerParams<F>) -> bool
This method tests for !=.
impl<F: Float> StructuralPartialEq for LinearScalerParams<F>
Auto Trait Implementations
impl<F> RefUnwindSafe for LinearScalerParams<F> where
F: RefUnwindSafe,
impl<F> Send for LinearScalerParams<F>
impl<F> Sync for LinearScalerParams<F>
impl<F> Unpin for LinearScalerParams<F>
impl<F> UnwindSafe for LinearScalerParams<F> where
F: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more