[−][src]Module fbleau::estimates

This module implements Bayes risk estimates, and heuristics for evaluating convergence.

Re-exports

pub use self::knn::KNNEstimator;

pub use self::frequentist::FrequentistEstimator;

pub use self::convergence::ForwardChecker;

convergence	This module provides tools for verifying whether an estimate has converged.
frequentist	Frequentist Bayes risks estimate for discrete secret and output space.
knn	Fast k-NN error estimates for discrete and continuous output space.

A wrapper around estimators (e.g., frequentist/k-NN).

euclidean_distance	Returns the Euclidean distance between two vectors of f64 values.
levenshtein_distance	Returns the Levenshtein distance between two vectors of f64 values.