[Repo Assist] improve(gcm/ml): correct np.array → np.ndarray in method type annotations

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Problem

Four method signatures in the GCM ML layer use np.array as a type annotation:

# classification.py
def predict_probabilities(self, X: np.array) -> np.ndarray: ...   # ← wrong × 3

# regression.py
def predict(self, X: np.array) -> np.ndarray: ...                 # ← wrong

np.array is a function, not a type. Using it as a type annotation (X: np.array) is technically incorrect — it tells type checkers and IDEs that X should be the array function itself, not a NumPy array. The correct annotation for NumPy arrays is np.ndarray.

Fix

Replace the four incorrect np.array annotations with np.ndarray:

File	Method	Line
dowhy/gcm/ml/classification.py	ClassificationModel.predict_probabilities (abstract)	34
dowhy/gcm/ml/classification.py	SklearnClassificationModel.predict_probabilities	44
dowhy/gcm/ml/classification.py	SklearnClassificationModelWeighted.predict_probabilities	56
dowhy/gcm/ml/regression.py	SklearnRegressionModel.predict	43

No functional change — type annotations are not enforced at runtime.

Test Status

✅ All 12 tests in tests/gcm/test_fcms.py pass unchanged.
✅ black --check clean on both modified files.
✅ isort --check clean on both modified files.
✅ flake8 clean on both modified files (no new errors).

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