pub struct NormScaler { /* private fields */ }
Expand description

Norm scaler: scales all samples in a dataset to have unit norm, according to the specified norm measure

Example

use linfa::traits::Transformer;
use linfa_preprocessing::norm_scaling::NormScaler;

// Load dataset
let dataset = linfa_datasets::diabetes();
// Initialize scaler
let scaler = NormScaler::l2();
// Scale dataset
let dataset = scaler.transform(dataset);

Implementations§

Initializes a norm scaler that uses l2 norm

Initializes a norm scaler that uses l1 norm

Initializes a norm scaler that uses max norm

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
This method tests for self and other values to be equal, and is used by ==. Read more
This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason. Read more

Scales all samples in the array of shape (nsamples, nfeatures) to have unit norm.

Substitutes the records of the dataset with their scaled versions with unit norm.

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
Compare self to key and return true if they are equal.

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.