gpflow.inducing_variables.inducing_variables¶

gpflow.inducing_variables.inducing_variables.InducingPointsBase¶

class gpflow.inducing_variables.inducing_variables.InducingPointsBase(Z, name=None)[source]¶

Attributes

name: Returns the name of this module as passed or determined in the ctor.
name_scope: Returns a tf.name_scope instance for this class.
non_trainable_variables: Sequence of non-trainable variables owned by this module and its submodules.
num_inducing: Returns the number of inducing variables, relevant for example to determine the size of the variational distribution.
parameters
submodules: Sequence of all sub-modules.
trainable_parameters
trainable_variables: Sequence of trainable variables owned by this module and its submodules.
variables: Sequence of variables owned by this module and its submodules.

Methods

with_name_scope(method)

Decorator to automatically enter the module name scope.

Parameters

Z (Union[int, float, Sequence[Any], ndarray, Tensor, Variable, Parameter]) –
name (Optional[str]) –

property num_inducing: Optional[tensorflow.python.framework.ops.Tensor]¶

Returns the number of inducing variables, relevant for example to determine the size of the variational distribution.