Trait rusty_machine::data::transforms::Transformer

pub trait Transformer<T> {
    fn transform(&mut self, inputs: T) -> LearningResult<T>;
}

Trait for data transformers

Required Methods

fn transform(&mut self, inputs: T) -> LearningResult<T>

Transforms the inputs

Implementors

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.

impl<T: Float + FromPrimitive> Transformer<Matrix<T>> for Standardizer<T>

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

impl<T: Float, M> Transformer<Matrix<T>> for Normalizer<T, M>where
    for<'a> M: MatrixNorm<T, MatrixSlice<'a, T>>,