Crate rustyml

Modules§

dataset: This module provides access to common datasets used for testing and benchmarking machine learning algorithms
machine_learning: Module machine_learning provides implementations of various machine learning algorithms and models.
math: Module math contains mathematical utility functions for statistical operations and model evaluation.
metric: This module provides implementation of common evaluation metrics used in statistical analysis and machine learning models.
neural_network: This module provides components for building and training neural networks.
prelude: A convenience module that re-exports the most commonly used types and traits from this crate.
traits: Module containing trait definitions for machine learning model interfaces.
utility: A collection of utility functions and data processing tools to support machine learning operations.