if True, re-applies the constraining bijector
to return initializations in the original domain. Otherwise, returns
initializations in the unconstrained space.
Default value: True.
init_sample_shape
sample_shape of the sampled initializations.
Default value: [].
Tensor of shape concat([init_sample_shape,
parameter.prior.batch_shape, transformed_event_shape]), where
transformed_event_shape is parameter.prior.event_shape, if
return_constrained=True, and otherwise it is
parameter.bijector.inverse_event_shape(parameteter.prior.event_shape).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]