Trait relearn::spaces::FeatureSpace

pub trait FeatureSpace<T>: Space + BaseFeatureSpace {
    fn features(&self, element: &Self::Element) -> T;
}

A space whose elements can be converted to feature vectors.

The representation is generally suited for use as input to a machine learning model, in contrast to ReprSpace, which yields a compact representation.

Required methods

fn features(&self, element: &Self::Element) -> T

Convert an element of the space into a feature vector.

Args

• element - An element of the space.

Returns

A feature vector with length NUM_FEATURES.

Implementors

impl<S, T> FeatureSpace<ArrayBase<OwnedRepr<T>, Dim<[usize; 1]>>> for OptionSpace<S> where
    S: for<'a> FeatureSpaceOut<ArrayViewMut<'a, T, Ix1>>,
    T: Clone + Zero + One, 

impl<S, T> FeatureSpace<ArrayBase<OwnedRepr<T>, Dim<[usize; 1]>>> for S where
    S: CategoricalSpace,
    T: Clone + Zero + One, 

impl<S, T> FeatureSpace<T> for NonEmptyFeatures<S> where
    S: FeatureSpace<T>,
    T: BasicArray<f32, 1>, 

impl<S: CategoricalSpace> FeatureSpace<Tensor> for S

Represents elements with one-hot feature vectors.

impl<S: FeatureSpaceOut<Tensor>> FeatureSpace<Tensor> for OptionSpace<S>

impl<T> FeatureSpace<Tensor> for IntervalSpace<T> where
    T: Copy + Float + PartialOrd + CastInto<f32>, 

impl<T> FeatureSpace<T> for BooleanSpace where
    T: BasicArray<f32, 1>, 

impl<T> FeatureSpace<T> for SingletonSpace where
    T: BasicArray<f32, 1>, 

Represent elements as a float vector of length 0.

impl<T, U> FeatureSpace<U> for ProductSpace<T> where
    T: FeatureSpaceOutForTuples<U>,
    U: BasicArray<f32, 1>,