!206 Add parameter validation for the get_attacker function

From: @liu_luobin
Reviewed-by: @pkuliuliu,@zhidanliu
Signed-off-by: @pkuliuliu,@zhidanliu

mindarmour/privacy/evaluation/attacker.py

@@ -25,6 +25,7 @@ from sklearn.model_selection import RandomizedSearchCV
 from sklearn.exceptions import ConvergenceWarning
 
 from mindarmour.utils.logger import LogUtil
+from mindarmour.utils._check_param import check_pair_numpy_param, check_param_type
 
 LOGGER = LogUtil.get_instance()
 TAG = "Attacker"
@@ -143,6 +144,13 @@ def get_attack_model(features, labels, config, n_jobs=-1):
         >>> config = {"method": "knn", "params": {"n_neighbors": [3, 5, 7]}}
         >>> attack_model = get_attack_model(features, labels, config)
     """
+    features, labels = check_pair_numpy_param("features", features, "labels", labels)
+    config = check_param_type("config", config, dict)
+    n_jobs = check_param_type("n_jobs", n_jobs, int)
+    if not (n_jobs == -1 or n_jobs > 0):
+        msg = "Value of n_jobs must be -1 or positive integer."
+        raise ValueError(msg)
+
     method = str.lower(config["method"])
     with warnings.catch_warnings():
         warnings.filterwarnings('ignore', category=ConvergenceWarning)