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

Initializes the scaler with the specified method.

Setter for the scaler method

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Formats the value using the given formatter. Read more

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.

This method tests for self and other values to be equal, and is used by ==. Read more

This method tests for !=.

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

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

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.