mgplvm.kernels.kernel module

class mgplvm.kernels.kernel.Kernel[source]

Bases: mgplvm.base.Module

Base kernel class

abstract static K(self, x, y)[source]

Return type: Tensor

abstract static diagK(self, x)[source]

Return type: Tensor

forward(x, y)[source]

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Return type: Tensor

abstract static trK(self, x)[source]

Return type: Tensor

training: bool