Examples
Starting with simple kernel ridge regression, via classification, hyperparameter tuning, to large-scale GPU experiments, these notebooks cover all there is to know about Falkon.
Kernel ridge regression goes through the basic notions of the library with a simple example;
Logistic Falkon tutorial shows how to use the Logistic Falkon estimator, comparing the results with normal Falkon;
Hyperparameter tuning is a fully worked out example of optimizing hyperparameters with cross-validation for a real-world multi-class problem;
custom kernels will walk you through the implementation of a custom kernel.
Gradient hyperopt: a tutorial on using the
hopt
module for gradient-based hyperparameter optimization in Falkon.MNIST example: A simple tutorial on using Falkon for MNIST digit classification.