gpflow.covariances.kuus¶
gpflow.covariances.kuus.Kuu_conv_patch¶
- gpflow.covariances.kuus.Kuu_conv_patch(inducing_variable, kernel, jitter=0.0)[source]¶
- Parameters
inducing_variable (
InducingPatches) –kernel (
Convolutional) –jitter (
float) –
- Return type
Tensor
gpflow.covariances.kuus.Kuu_kernel_inducingpoints¶
- gpflow.covariances.kuus.Kuu_kernel_inducingpoints(inducing_variable, kernel, *, jitter=0.0)[source]¶
- Parameters
inducing_variable (
InducingPoints) –kernel (
Kernel) –jitter (
float) –
- Return type
Tensor
gpflow.covariances.kuus.Kuu_sqexp_multiscale¶
- gpflow.covariances.kuus.Kuu_sqexp_multiscale(inducing_variable, kernel, *, jitter=0.0)[source]¶
- Parameters
inducing_variable (
Multiscale) –kernel (
SquaredExponential) –jitter (
float) –
- Return type
Tensor