Add is_close function for `Interval´ class

[AVHopp]

This PR adds an is_close functionality for the Interval class to allow fuzzy comparisons of interval boundaries.

This fixed #767 by replacing the strict check for normalisation of an Interval against the Interval(0,1) by a fuzzy match against this interval. The functionality simply uses the np.isclose function to check both interval boundaries.

[AVHopp]

@Scienfitz @AdrianSosic do we want to add the possibility to pipe through **kwargs that are then piped through to np.isclose for finer control?

[Scienfitz]

we dont need this function, we can rely on attrs builint funcitonality, you merely have to tell attrs please compare the "lower" and "upper" attributes using "np.isclose", then the entire IntervalA == IntervalB comparison will be fuzzy as we need
see my comment in #767

[AVHopp]

Changed, please have a look: c81db9e

[AVHopp]

Also note that I could not directly use np.isclose as this caused mypy to complain, I hence added a lambda as well as bool conversion in 343d7f8

[Copilot]

Pull request overview

Adds a fuzzy interval-boundary comparison utility to address overly strict normalization checks (Issue #767), replacing exact Interval(0, 1) comparisons with a tolerance-based approach.

Changes:

• Added Interval.is_close() using numpy.isclose on both bounds.
• Updated NumericalTarget.is_normalized to use Interval.is_close(Interval(0, 1)) instead of strict equality.
• Added validation tests for closeness behavior and documented the change in the changelog.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 4 comments.

File	Description
baybe/utils/interval.py	Introduces Interval.is_close() for fuzzy boundary comparison.
baybe/targets/numerical.py	Switches normalization detection to use the new fuzzy comparison.
tests/validation/test_interval_validation.py	Adds tests for Interval.is_close() behavior.
CHANGELOG.md	Documents the new API and the normalization-check fix.

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