LearningGaussianProcess

Gaussian-process models. Trainers in the scikit-learn GaussianProcess 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 LearningGaussianProcess`` brings the core types in scope too.
Imports
open LearningCore;
Table of Contents

Functions

gaussian_process_classifier

def gaussian_process_classifier (ds: {d : Dataset | independent_target d = True && has_missing d = False}) : {m : SklearnClassifier | clf_features m = ds_features ds && clf_classes m = ds_classes ds}

gaussian_process_regressor

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