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