gpflow.covariances.multioutput.kufs¶

gpflow.covariances.multioutput.kufs.Kuf_fallback_separate_linear_coregionalization¶

gpflow.covariances.multioutput.kufs.Kuf_fallback_separate_linear_coregionalization(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (FallbackSeparateIndependentInducingVariables) –
kernel (LinearCoregionalization) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_fallback_shared_linear_coregionalization¶

gpflow.covariances.multioutput.kufs.Kuf_fallback_shared_linear_coregionalization(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (FallbackSharedIndependentInducingVariables) –
kernel (LinearCoregionalization) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_generic¶

gpflow.covariances.multioutput.kufs.Kuf_generic(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (InducingPoints) –
kernel (MultioutputKernel) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_separate_linear_coregionalization¶

gpflow.covariances.multioutput.kufs.Kuf_separate_linear_coregionalization(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SeparateIndependentInducingVariables) –
kernel (LinearCoregionalization) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_separate_separate¶

gpflow.covariances.multioutput.kufs.Kuf_separate_separate(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SeparateIndependentInducingVariables) –
kernel (SeparateIndependent) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_separate_shared¶

gpflow.covariances.multioutput.kufs.Kuf_separate_shared(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SeparateIndependentInducingVariables) –
kernel (SharedIndependent) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_shared_linear_coregionalization¶

gpflow.covariances.multioutput.kufs.Kuf_shared_linear_coregionalization(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SharedIndependentInducingVariables) –
kernel (SeparateIndependent) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_shared_separate¶

gpflow.covariances.multioutput.kufs.Kuf_shared_separate(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SharedIndependentInducingVariables) –
kernel (SeparateIndependent) –
Xnew (Union[ndarray, Tensor, Variable, Parameter]) –

Return type

Tensor

gpflow.covariances.multioutput.kufs.Kuf_shared_shared¶

gpflow.covariances.multioutput.kufs.Kuf_shared_shared(inducing_variable, kernel, Xnew)[source]¶

Parameters

inducing_variable (SharedIndependentInducingVariables) –
kernel (SharedIndependent) –
Xnew (Tensor) –

Return type

Tensor