Crate rustyml
Source - 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.
- prelude
- A convenience module that re-exports the most commonly used types and traits from this crate.
- utility
- A collection of utility functions and data processing tools to support machine learning operations.
- ModelError
- Error types that can occur during model operations