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Method shape

gpflow/inducing_variables/inducing_variables.py:50–60  ·  view source on GitHub ↗

Return the shape of these inducing variables. Shape should be some variation of ``[M, D, P]``, where: * ``M`` is the number of inducing variables. * ``D`` is the number of input dimensions. * ``P`` is the number of output dimensions (1 if this is not a mult

(self)

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48 @property
49 @abc.abstractmethod
50 def shape(self) -> Shape:
51 """
52 Return the shape of these inducing variables.
53
54 Shape should be some variation of ``[M, D, P]``, where:
55
56 * ``M`` is the number of inducing variables.
57 * ``D`` is the number of input dimensions.
58 * ``P`` is the number of output dimensions (1 if this is not a multi-output inducing
59 variable).
60 """
61
62
63class InducingPointsBase(InducingVariables):

Callers 15

uncertain_conditionalFunction · 0.45
base_conditional_with_lmFunction · 0.45
sample_mvnFunction · 0.45
ndiagquadFunction · 0.45
ndiag_mcFunction · 0.45
num_inducingMethod · 0.45
broadcasting_elementwiseFunction · 0.45
difference_matrixFunction · 0.45
_build_activity_maskMethod · 0.45
_embedMethod · 0.45

Calls

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