Namespace AiDotNet.Statistics

Classes

BasicStats<T>

Provides a collection of basic statistical measures for a set of numeric values.

ErrorStats<T>

Calculates and stores various error metrics for evaluating prediction model performance.

EvolutionStats<T, TInput, TOutput>

Represents statistics about the evolutionary process.

ModelStats<T, TInput, TOutput>

Represents a collection of statistical metrics for evaluating and analyzing machine learning models.

PredictionStats<T>

Calculates and stores various statistics to evaluate prediction performance and generate prediction intervals.

Quartile<T>

Computes and stores the quartiles (Q1, Q2, Q3) of a numeric dataset.