Struct rusty_machine::data::transforms::minmax::MinMaxScaler

pub struct MinMaxScaler<T: Float> { /* fields omitted */ }

The MinMaxScaler

The MinMaxScaler provides an implementation of Transformer which allows us to transform the input data to have a new minimum and maximum per column.

See the module description for more information.

Methods

impl<T: Float> MinMaxScaler<T>

fn new(min: T, max: T) -> MinMaxScaler<T>

Constructs a new MinMaxScaler with the specified scale.

Examples

use rusty_machine::data::transforms::{MinMaxScaler, Transformer};

// Constructs a new `MinMaxScaler` which will give the data
// minimum `0` and maximum `2`.
let transformer = MinMaxScaler::new(0.0, 2.0);

Trait Implementations

impl<T: Debug + Float> Debug for MinMaxScaler<T>

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl<T: Float> Default for MinMaxScaler<T>

Create a default MinMaxScaler with minimum of 0 and maximum of 1.

fn default() -> MinMaxScaler<T>

Returns the "default value" for a type.

impl<T: Float> Transformer<Matrix<T>> for MinMaxScaler<T>

fn fit(&mut self, inputs: &Matrix<T>) -> Result<(), Error>

Fit Transformer to input data, and stores the transformation in the Transformer

fn transform(&mut self, inputs: Matrix<T>) -> Result<Matrix<T>, Error>

Transforms the inputs and stores the transformation in the Transformer

impl<T: Float> Invertible<Matrix<T>> for MinMaxScaler<T>

fn inv_transform(&self, inputs: Matrix<T>) -> Result<Matrix<T>, Error>

Maps the inputs using the inverse of the fitted transform.