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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;