Struct WfaLearning 

pub struct WfaLearning<F, A>
where
    F: Field,
    F::Additive: Invertible,
    F::Multiplicative: Invertible,
    A: BlackBoxAutomaton<Output = F::T>,
{ /* private fields */ }

Implementations

impl<F, A> WfaLearning<F, A>

where F: Field, F::Additive: Invertible, F::Multiplicative: Invertible, F::T: PartialEq, A: BlackBoxAutomaton<Output = F::T>,

pub fn new(automaton: A) -> Self

pub fn wfa(&self) -> &WeightedFiniteAutomaton<F>

pub fn train_sample(&mut self, sample: &[usize]) -> bool

Examples found in repository

crates/competitive/src/algorithm/automata_learning.rs (line 656)

    pub fn train(&mut self, samples: impl IntoIterator<Item = Vec<usize>>) {
        for sample in samples {
            self.train_sample(&sample);
        }
    }

pub fn train(&mut self, samples: impl IntoIterator<Item = Vec<usize>>)

pub fn batch_train(&mut self, samples: impl IntoIterator<Item = Vec<usize>>)

Trait Implementations

impl<F, A> Clone for WfaLearning<F, A>

where F: Field, F::Additive: Invertible, F::Multiplicative: Invertible, A: BlackBoxAutomaton<Output = F::T> + Clone,

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<F, A> Debug for WfaLearning<F, A>

where F: Field, F::Additive: Invertible, F::Multiplicative: Invertible, F::T: Debug, A: BlackBoxAutomaton<Output = F::T> + Debug,

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.