update compatibility with scikitlearn 1.4

[perib]

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What does this PR do?

This resolves the error encountered in #1341 . The latest version of sklearn updated the internal function def _fit_and_score to take in an additional score_params parameter. When TPOT attempted to evaluate a pipeline with this function, it would throw an error because this parameter was missing.

The parameter was introduced in this PR https://github.com/scikit-learn/scikit-learn/pull/26896/files

How should this PR be tested?

I tested with the following code. Runs with the fix but not without the fix.

from tpot import TPOTClassifier
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
import numpy as np

iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data.astype(np.float64),
    iris.target.astype(np.float64), train_size=0.75, test_size=0.25, random_state=42)

est = TPOTClassifier(generations=5, population_size=50, verbosity=2, random_state=42)
est.fit(X_train, y_train) 

Questions:

• Do the docs need to be updated?
• Does this PR add new (Python) dependencies?

Updates the dependencies of scikit learn to version 1.4 . This change is incompatible with previous versions of scikit-learn

[jay-m-dev]

Tested on Python 3.10.12 and 3.12.1