bayeso.utils.utils_gp

It is utilities for Gaussian process regression and Student-\(t\) process regression.

bayeso.utils.utils_gp.get_prior_mu(prior_mu: Callable | None, X: ndarray) → ndarray

It computes the prior mean function values over inputs X.

Parameters:

• prior_mu (function or NoneType) – prior mean function or None.

• X (numpy.ndarray) – inputs for prior mean function. Shape: (n, d) or (n, m, d).

Returns:

zero array, or array of prior mean function values. Shape: (n, 1).

Return type:

numpy.ndarray

Raises:

AssertionError

bayeso.utils.utils_gp.validate_common_args(X_train: ndarray, Y_train: ndarray, str_cov: str, prior_mu: Callable | None, debug: bool, X_test: ndarray | None = None) → None

It validates the common arguments for various functions.

Parameters:

• X_train (numpy.ndarray) – inputs. Shape: (n, d) or (n, m, d).

• Y_train (numpy.ndarray) – outputs. Shape: (n, 1).

• str_cov (str.) – the name of covariance function.

• prior_mu (NoneType, or function) – None, or prior mean function.

• debug (bool.) – flag for printing log messages.

• X_test (numpy.ndarray, or NoneType, optional) – inputs or None. Shape: (l, d) or (l, m, d).

Returns:

None.

Return type:

NoneType

Raises:

AssertionError