MLPR_toolbox

Intro

The repository serves as a storage of functions I use in the course of Machine Learning and Pattern Recognition

TODO:

• add error bars to Bayesian regression and Gaussian processes
• add Bayesian optimization
• add test gradient-based optimization of multiclass logit

Content

functions

sigmoid(a)

radial_basis_function_1d(x, centers, h)

$$\sigma(a) = \frac{1}{1%2B\exp(a)}$$