Module gpr

Gaussian Process Regression (GPR).

Classes

GPR
Gaussian Process Regression (GPR).

Functions

gen_data(n_instances, n_features, flat=False, noise=0.4)
Generate a (quite) complex multidimensional dataset.

source code

compute_prediction(sigma_noise_best, length_scale_best, regression, dataset, data_test, label_test, F, logml=True)

source code

Imports: N, StateVariable, Classifier, KernelSquaredExponential, debug

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