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§
source§impl<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§
source§impl<F: Clone + Float> Clone for LinearScalerParams<F>
impl<F: Clone + Float> Clone for LinearScalerParams<F>
source§fn clone(&self) -> LinearScalerParams<F>
fn clone(&self) -> LinearScalerParams<F>
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl<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>
source§fn 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>
source§impl<F: PartialEq + Float> PartialEq for LinearScalerParams<F>
impl<F: PartialEq + Float> PartialEq for LinearScalerParams<F>
source§fn 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 ==
.impl<F: Eq + Float> Eq for LinearScalerParams<F>
impl<F: Float> StructuralEq for LinearScalerParams<F>
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§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<Q, K> Equivalent<K> for Q
impl<Q, K> Equivalent<K> for Q
source§fn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Compare self to
key
and return true
if they are equal.