LearningKernel

Kernel ridge regression. Trainers in the scikit-learn Kernel family, behind Learning's typed contract. Each requires a clean training set (``independent_target`` and no missing values) and stamps the model with the dataset's feature/class count. ``open LearningKernel`` brings the core types in scope too.
Imports
open LearningCore;
Table of Contents

Functions

kernel_ridge

def kernel_ridge (ds: {d : Dataset | independent_target d = True && has_missing d = False}) : {m : SklearnRegressor | reg_features m = ds_features ds}