fix - bump nutpie to the latest version + add testing action#371
Merged
fix - bump nutpie to the latest version + add testing action#371
Conversation
This fixes the error the
"RuntimeError: Coordinate batch_effect_dims value has unsupported type
Caused by:
RuntimeError: Could not convert to Value. Unsupported type: ArrowStringArray"
see: https://discourse.pymc.io/t/runtimeerror-unsupported-type-arrowstringarray-during-nutpie-sample/17542
If you download data with load_fcon100() a directory pcntoolkit_resources/ appears in the root. This will create conflicts with the main directory pcntoolkit/ when the developer will try to install the dependencies. With this fix we tell pip to treat pcntoolkit/ as the package
Collaborator
Author
|
The testing action worked, all the tests passed so I will merge this PR |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Fixes this bug that appears when running fit_predict():