Issue computing ApEn with scikit-learn version 1.3.1

[danibene]

Describe the bug
Tried to run hrv() after upgrading from scikit-learn 1.3.0 to 1.3.1 and got the following error:

out["ApEn"], _ = entropy_approximate(rri, delay=1, dimension=2, tolerance=tolerance)
/neurokit2/complexity/entropy_approximate.py", line 100, in entropy_approximate
    out, _ = _entropy_apen(signal, delay, dimension, info["Tolerance"], **kwargs)
/neurokit2/complexity/optim_complexity_tolerance.py", line 363, in _entropy_apen
    phi, info = _phi(
/neurokit2/complexity/utils.py", line 29, in _phi
    embedded1, count1, kdtree1 = _get_count(
/neurokit2/complexity/utils.py", line 115, in _get_count
    valid_metrics = sklearn.neighbors.KDTree.valid_metrics() + ["range"]
TypeError: 'list' object is not callable

Downgrading to scikit-learn 1.3.0 fixed it.

System Specifications
I am using neurokit2 0.2.6, pandas 1.5.3, scipy 1.11.2, and numpy 1.24.3

[DominiqueMakowski]

Yes, I just realized it's what messing up with the CIs, let me give it a fix

[danibene]

Seems like it's related to this: scikit-learn/scikit-learn#26754

[danibene]

Yes, I just realized it's what messing up with the CIs, let me give it a fix

Thank you!

[DominiqueMakowski]

Weird the tests still fail as if they weren't running with the update I made

[DominiqueMakowski]

I think I'll merge that branch soon anyway, and then we'll see from dev

[stale]

Is this still relevant? If so, what is blocking it? Is there anything you can do to help move it forward?

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.