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Handling of infinite arrays when alpha is too small in the coverage calculation with the function regression_coverage_score().
To Reproduce
Steps to reproduce the behavior:
Go to notebook "ts-changepoint.ipynb"
Uncomment the following : "coverage_aci_pfit = regression_coverage_score(y_test, y_pis_aci_pfit[:, 0, 0], y_pis_aci_pfit[:, 1, 0])"
Launch all the notebook
See error
Expected behavior
How to handle alpha values in this case to calculate a regression coverage score without raising an error?
Screenshots
Desktop (please complete the following information):
OS: IOS
Browser : chrome
MAPIE Version 0.8.6
Additional context
We get another type of error when allow_infinite_bounds = False in the .predict() method. It tells us that the number of samples must be greater than max(alpha, 1/alpha)
The text was updated successfully, but these errors were encountered:
Describe the bug
Handling of infinite arrays when alpha is too small in the coverage calculation with the function regression_coverage_score().
To Reproduce
Steps to reproduce the behavior:
Expected behavior
How to handle alpha values in this case to calculate a regression coverage score without raising an error?
Screenshots
Desktop (please complete the following information):
Additional context
We get another type of error when allow_infinite_bounds = False in the .predict() method. It tells us that the number of samples must be greater than max(alpha, 1/alpha)
The text was updated successfully, but these errors were encountered: