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/*!
* If this is your first time using Easy ML you should check out some of the examples
* to get an overview of how to use matrices then study the
* [Matrix](matrices::Matrix) type for what you need.
*
* # Examples
* - [Linear Regression](linear_regression)
* - [k-means Clustering](k_means)
* - [Logistic Regression](logistic_regression)
* - [Naïve Bayes](naive_bayes)
* - [Neural Network XOR Problem](neural_networks)
*
* # API Modules
* - [Matrices](matrices)
* - [Linear Algebra](linear_algebra)
* - [Distributions](distributions)
* - [(Automatic) Differentiation](differentiation)
* - [Numerical type definitions](numeric)
*
* # Miscellaneous
* - [Web Assembly](web_assembly)
* - [Using custom numeric types](using_custom_types)
*/
pub mod numeric;
pub mod linear_algebra;
pub mod matrices;
pub mod distributions;
pub mod differentiation;
// examples
pub mod linear_regression;
pub mod using_custom_types;
pub mod k_means;
pub mod logistic_regression;
pub mod naive_bayes;
pub mod neural_networks;
pub mod web_assembly;