rgpycrumbs.surfaces.gradient_nystrom

Classes

NystromGradientIMQ

Memory-efficient Nystrom-approximated gradient-enhanced IMQ surface.

Functions

_stable_nystrom_grad_imq_solve(x, y_full, x_inducing, ...)
_nystrom_grad_imq_predict(x_query, x_inducing, ...)
_nystrom_grad_imq_var(x_query, x_inducing, W, epsilon)

Module Contents

rgpycrumbs.surfaces.gradient_nystrom._stable_nystrom_grad_imq_solve(x, y_full, x_inducing, noise_scalar, epsilon)

rgpycrumbs.surfaces.gradient_nystrom._nystrom_grad_imq_predict(x_query, x_inducing, alpha_m, epsilon)

rgpycrumbs.surfaces.gradient_nystrom._nystrom_grad_imq_var(x_query, x_inducing, W, epsilon)

class rgpycrumbs.surfaces.gradient_nystrom.NystromGradientIMQ(x, y, gradients=None, n_inducing=300, nimags=None, smoothing=0.001, length_scale=None, optimize=True, **kwargs)

Bases: rgpycrumbs.surfaces._base.BaseGradientSurface

Memory-efficient Nystrom-approximated gradient-enhanced IMQ surface.

Added in version 1.1.0.

n_inducing = 300

nimags = None

_fit(smoothing, length_scale, _optimize)

Internal method to perform parameter optimization.

_solve()

Internal method to solve the linear system for weights.

_predict_chunk(chunk)

Internal method for batch prediction.

_var_chunk(chunk)

Internal method for batch variance.