Crate vikos

A machine learning library for supervised regression trainings

This library wants to enable its user to write teachers independent of the model trained or the cost function tried to minimize. Consequently its two main traits are currently Model, Cost and Teacher.

Modules

cost	Implementations of Cost trait
linear_algebra	Defines linear algebra traits used for some model parameters
model	Implementations of Model trait
teacher	Implementatios of Teacher trait
training	Implementations of Training trait

Traits

Cost	Cost functions those value is supposed be minimized by the training algorithm
Model	A Model is defines how to predict a target from an input
Teacher	Teachers are used to train Models, based on events and a Cost function
Training	Teaches event to a Model

Functions

inert_gradient_descent_step	Changes all coefficents of model based on their derivation of the cost function at features
inert_stochastic_gradient_descent	SGD tranining with constant learning rate and velocity
teach_history	Teaches model all events in history