Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add normalising transformation #520

Open
BradyPlanden opened this issue Sep 28, 2024 · 0 comments
Open

Add normalising transformation #520

BradyPlanden opened this issue Sep 28, 2024 · 0 comments
Labels
enhancement New feature or request

Comments

@BradyPlanden
Copy link
Member

Feature description

Normalising the parameter space to a common amplitude and scale can be viewed as a special-case for the ScaledTransformation instance. For more information, see https://en.wikipedia.org/wiki/Normalization_(statistics)

Motivation

This transformation can provide convergence and robustness improvements for the optimisation and sampling processes when hyper-parameters are not calibrated.

Possible implementation

Add an instance of the ScaledTransformation that scales the parameter space to an amplitude of 1 and range of [0,1].

Additional context

No response

@BradyPlanden BradyPlanden added the enhancement New feature or request label Sep 28, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant