Add separate methods to return nodes/leaves/depth

odte/Odte.py

@@ -251,6 +251,18 @@ class Odte(BaseEnsemble, ClassifierMixin):
                 result[i, predictions[i]] += 1
         return result / self.n_estimators
     
+    def get_nodes(self) ->int:
+        check_is_fitted(self, "estimators_")
+        return self.nodes_
+    
+    def get_leaves(self) ->int:
+        check_is_fitted(self, "estimators_")
+        return self.leaves_
+    
+    def get_depth(self) ->int:
+        check_is_fitted(self, "estimators_")
+        return self.depth_
+
     def nodes_leaves(self) -> Tuple[float, float]:
         check_is_fitted(self, "estimators_")
         return self.nodes_, self.leaves_

odte/_version.py

@@ -1 +1 @@
-__version__ = "0.3.4"
+__version__ = "0.3.5"

odte/tests/Odte_tests.py

@@ -190,6 +190,12 @@ class Odte_test(unittest.TestCase):
         )
         with self.assertRaises(NotFittedError):
             tclf.nodes_leaves()
+        with self.assertRaises(NotFittedError):
+            tclf.get_nodes()
+        with self.assertRaises(NotFittedError):
+            tclf.get_leaves()
+        with self.assertRaises(NotFittedError):
+            tclf.get_depth()
 
     def test_nodes_leaves_depth(self):
         tclf = Odte(
@@ -209,11 +215,16 @@ class Odte_test(unittest.TestCase):
         tclf_p.fit(X, y)
         for clf in [tclf, tclf_p]:
             self.assertAlmostEqual(5.8, clf.depth_)
+            self.assertAlmostEqual(5.8, clf.get_depth())
             self.assertAlmostEqual(9.4, clf.leaves_)
+            self.assertAlmostEqual(9.4, clf.get_leaves())
             self.assertAlmostEqual(17.8, clf.nodes_)
+            self.assertAlmostEqual(17.8, clf.get_nodes())
             nodes, leaves = clf.nodes_leaves()
             self.assertAlmostEqual(9.4, leaves)
+            self.assertAlmostEqual(9.4, clf.get_leaves())
             self.assertAlmostEqual(17.8, nodes)
+            self.assertAlmostEqual(17.8, clf.get_nodes())
 
     def test_nodes_leaves_SVC(self):
         tclf = Odte(
@@ -224,10 +235,14 @@ class Odte_test(unittest.TestCase):
         X, y = load_dataset(self._random_state, n_features=16, n_samples=500)
         tclf.fit(X, y)
         self.assertAlmostEqual(0.0, tclf.leaves_)
+        self.assertAlmostEqual(0.0, tclf.get_leaves())
         self.assertAlmostEqual(0.0, tclf.nodes_)
+        self.assertAlmostEqual(0.0, tclf.get_nodes())
         nodes, leaves = tclf.nodes_leaves()
         self.assertAlmostEqual(0.0, leaves)
+        self.assertAlmostEqual(0.0, tclf.get_leaves())
         self.assertAlmostEqual(0.0, nodes)
+        self.assertAlmostEqual(0.0, tclf.get_nodes())
 
     def test_estimator_hyperparams(self):
         data = [