Struct fbleau::estimates::frequentist::FrequentistEstimator

pub struct FrequentistEstimator { /* fields omitted */ }

Keeps track of the frequentist estimate, allowing to reduce the size of training data.

Implementations

impl FrequentistEstimator

pub fn new(
    n_labels: usize,
    test_x: &ArrayView2<'_, f64>,
    test_y: &ArrayView1<'_, Label>
) -> FrequentistEstimator

pub fn from_data(
    n_labels: usize,
    train_x: &ArrayView1<'_, usize>,
    train_y: &ArrayView1<'_, Label>,
    test_x: &ArrayView1<'_, usize>,
    test_y: &ArrayView1<'_, Label>
) -> FrequentistEstimator

pub fn remove_one(&mut self) -> Result<(), ()>

Trait Implementations

impl BayesEstimator for FrequentistEstimator

fn add_example(&mut self, x: &ArrayView1<'_, f64>, y: Label) -> Result<(), ()>

Adds a new training example.

fn get_error_count(&self) -> usize

Returns the current number of errors.

fn get_error(&self) -> f64

Returns the current error rate.

fn get_individual_errors(&self) -> Vec<bool>

Returns the current errors for each test point.