[ENH] Numpy 2 compatibility #2218
Labels
enhancement
New feature, improvement request or other non-bug code enhancement
maintenance
Continuous integration, unit testing & package distribution
Describe the feature or idea you want to propose
it would be good to update our code to make it numpy 2.0 compatible, even if dependencies are not. See #2218
Describe your proposed solution
To make aeon compliant:
Soft deps with potential numpy issues (deal with after)
ptsr: Implement anomaly detection functions and remove dep #2066
tensorflow
The text was updated successfully, but these errors were encountered: