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

Need functionality to split two data packages based on an input mask #7

Open
cmutel opened this issue Apr 5, 2022 · 0 comments
Open

Comments

@cmutel
Copy link
Member

cmutel commented Apr 5, 2022

In cases where we have some parameters screened out by GSA or local sensitivity, we want to use the static/"best guess" values for those parameters. Currently datapackages can only either have static (vector) or stochastic (array) values. The requested functionality here would be a new function or method that would take two input datapackages and a Numpy boolean mask, and generate a datapackage with two resource groups, one for the static values and one for the stochastic values.

For the time being, we assume that these are datapackages stored on disk, and not interfaces.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant