Struct rusty_machine::data::transforms::shuffle::Shuffler

pub struct Shuffler<R: Rng> { /* fields omitted */ }

The Shuffler

Provides an implementation of Transformer which shuffles the input rows in place.

Methods

impl<R: Rng> Shuffler<R>

fn new(rng: R) -> Self

Construct a new Shuffler with given random number generator.

Examples

use rusty_machine::data::transforms::Transformer;
use rusty_machine::data::transforms::shuffle::Shuffler;
use rand::{StdRng, SeedableRng};

// We can create a seeded rng
let rng = StdRng::from_seed(&[1, 2, 3]);

let shuffler = Shuffler::new(rng);

Trait Implementations

impl<R: Debug + Rng> Debug for Shuffler<R>

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

Formats the value using the given formatter.

impl Default for Shuffler<ThreadRng>

Create a new shuffler using the rand::thread_rng function to provide a randomly seeded random number generator.

fn default() -> Self

Returns the "default value" for a type.

impl<R: Rng, T> Transformer<Matrix<T>> for Shuffler<R>

The Shuffler will transform the input Matrix by shuffling its rows in place.

Under the hood this uses a Fisher-Yates shuffle.

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>) -> LearningResult<Matrix<T>>

Transforms the inputs and stores the transformation in the Transformer