diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
index 60bdeedd6a14..f43780b35c0d 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -862,6 +862,8 @@ class RandomForestClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPred
     >>> model_path = temp_path + "/rfc_model"
     >>> model.save(model_path)
     >>> model2 = RandomForestClassificationModel.load(model_path)
+    >>> model.getMaxDepth() == model2.getMaxDepth()
+    True
     >>> model.featureImportances == model2.featureImportances
     True
 
@@ -997,6 +999,8 @@ class GBTClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol
     >>> model_path = temp_path + "gbtc_model"
     >>> model.save(model_path)
     >>> model2 = GBTClassificationModel.load(model_path)
+    >>> model.getMaxDepth() == model2.getMaxDepth()
+    True
     >>> model.featureImportances == model2.featureImportances
     True
     >>> model.treeWeights == model2.treeWeights
diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py
index 2d17f95b0c44..1434924e0d50 100644
--- a/python/pyspark/ml/regression.py
+++ b/python/pyspark/ml/regression.py
@@ -785,6 +785,12 @@ def getNumTrees(self):
         """Number of trees in ensemble."""
         return self._call_java("getNumTrees")
 
+    @property
+    @since("2.3.0")
+    def getMaxDepth(self):
+        """Maximum depth of the tree (>= 0)."""
+        return self._call_java("getMaxDepth")
+
     @property
     @since("1.5.0")
     def treeWeights(self):
@@ -877,6 +883,8 @@ class RandomForestRegressor(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredi
     >>> model_path = temp_path + "/rfr_model"
     >>> model.save(model_path)
     >>> model2 = RandomForestRegressionModel.load(model_path)
+    >>> model.getMaxDepth() == model2.getMaxDepth()
+    True
     >>> model.featureImportances == model2.featureImportances
     True
 
@@ -996,6 +1004,8 @@ class GBTRegressor(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredictionCol,
     >>> model_path = temp_path + "gbtr_model"
     >>> model.save(model_path)
     >>> model2 = GBTRegressionModel.load(model_path)
+    >>> model.getMaxDepth() == model2.getMaxDepth()
+    True
     >>> model.featureImportances == model2.featureImportances
     True
     >>> model.treeWeights == model2.treeWeights