The probabilities for a sample depend on the other samples during scoring

[thenx]

Describe the bug
LocalClassifierPerParentNode.predict_proba(X) prediction for a sample depends on the other samples in X

To Reproduce
One example could be the following:

def test_predict_proba_does_not_depend_on_samples_in_batch() -> None:
    train_x = np.array([[0], [1]])
    train_y = [[0, 0], [1, 1]]
    classifier = LocalClassifierPerParentNode()
    classifier.fit(train_x, train_y)
    predict_all_take_first = classifier.predict_proba(train_x)[0]
    predict_first_take_first = classifier.predict_proba(train_x[:1])[0]
    np.testing.assert_allclose(predict_all_take_first, predict_first_take_first)

which results in:

E            x: array([0.555353, 0.444647])
E            y: array([1., 0.])

Expected behavior
classifier.predict_proba(train_x)[0] == classifier.predict_proba(train_x)[0]

Versions:
Package Version Editable project location

---

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