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Calling a Laplace object on an array, (la::AbstractLaplace)(X::AbstractArray) now simply calls the underlying neural network on data. In other words, it returns the generic predictions, not LA predictions. This was implemented to facilitate better interplay with MLJFlux. [Refactor MLJFlux interface #39]
Moving straight to 1.0.0 now for package, because zero major versions cause compat headaches with other packages in Taija ecosystem. [Refactor MLJFlux interface #39]
Removed support for v1.7, now v1.9 as lower bound. This is because we are now overloading the MLJFlux.train and MLJFlux.train_epoch functions, which were added in version v0.5.0 of that package, which is lower-bounded at v1.9. [Refactor MLJFlux interface #39]
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Release notes:
Changed
predictfunction so that it now gives the user the possibility to get distributions from the Distributions.jl package as output. [new glm_predictive_distribution and corresponding changes in LaplaceRedux.predict #99](la::AbstractLaplace)(X::AbstractArray)now simply calls the underlying neural network on data. In other words, it returns the generic predictions, not LA predictions. This was implemented to facilitate better interplay withMLJFlux. [Refactor MLJFlux interface #39]1.0.0now for package, because zero major versions cause compat headaches with other packages in Taija ecosystem. [Refactor MLJFlux interface #39]v1.7, nowv1.9as lower bound. This is because we are now overloading theMLJFlux.trainandMLJFlux.train_epochfunctions, which were added in versionv0.5.0of that package, which is lower-bounded atv1.9. [Refactor MLJFlux interface #39]Removed
Added
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Registration pull request created: JuliaRegistries/General/111486
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