Crate easy_ml

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 type for what you need.

Examples

• Linear Regression
• k-means Clustering
• Logistic Regression
• Naïve Bayes
• Neural Network XOR Problem

API Modules

• Matrices
• Linear Algebra
• Distributions
• (Automatic) Differentiation
• Numerical type definitions

Miscellaneous

• Web Assembly
• Using custom numeric types

Modules

differentiation

(Automatic) Differentiation helpers

distributions

Models of distributions that samples can be drawn from.

k_means

K-means example

linear_algebra

Linear algebra algorithms on numbers and matrices

linear_regression

Linear regression examples

logistic_regression

Logistic regression example

matrices

Generic matrix type.

naive_bayes

Naïve Bayes examples

neural_networks

Neural Network training examples

numeric

Numerical type definitions.

using_custom_types

Using custom numeric types examples.

web_assembly

Web Assembly examples