rgpycrumbs.surfaces.gradient_rq

Classes

GradientRQ

Symmetric Gradient-enhanced Rational Quadratic (RQ) surface implementation.

Functions

negative_mll_rq_map(log_params, x, y_flat, D_plus_1)
_grad_rq_solve(x, y_full, noise_scalar, params)
_grad_rq_predict(x_query, x_obs, alpha, params)
_grad_rq_var(x_query, x_obs, K_inv, params)

Module Contents

rgpycrumbs.surfaces.gradient_rq.negative_mll_rq_map(log_params, x, y_flat, D_plus_1)

rgpycrumbs.surfaces.gradient_rq._grad_rq_solve(x, y_full, noise_scalar, params)

rgpycrumbs.surfaces.gradient_rq._grad_rq_predict(x_query, x_obs, alpha, params)

rgpycrumbs.surfaces.gradient_rq._grad_rq_var(x_query, x_obs, K_inv, params)

class rgpycrumbs.surfaces.gradient_rq.GradientRQ(x, y, gradients=None, smoothing=0.0001, length_scale=None, optimize=True, **_kwargs)

Bases: rgpycrumbs.surfaces._base.BaseGradientSurface

Symmetric Gradient-enhanced Rational Quadratic (RQ) surface implementation.

Added in version 1.0.0.

_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.