Add example of usage

example.py

@@ -0,0 +1,24 @@
+from benchmark import Discretizer
+from bayesclass import TAN
+import sys
+from sklearn.model_selection import cross_val_score, StratifiedKFold
+
+
+if len(sys.argv) < 2:
+    print("Usage: python3 example.py <dataset> [n_folds]")
+    exit(1)
+random_state = 17
+name = sys.argv[1]
+n_folds = int(sys.argv[2]) if len(sys.argv) == 3 else 5
+dt = Discretizer()
+X, y = dt.load(name)
+clf = TAN(random_state=random_state)
+fit_params = dict(
+    features=dt.get_features(), class_name=dt.get_class_name(), head=0
+)
+kfold = StratifiedKFold(
+    n_splits=n_folds, shuffle=True, random_state=random_state
+)
+score = cross_val_score(clf, X, y, cv=kfold, fit_params=fit_params)
+print(f"Accuracy in {n_folds} folds stratified crossvalidation")
+print(f"{name}{'.' * 10}{score.mean():9.7f}")