diff --git a/examples/model/model_metrics.py b/examples/model/model_metrics.py
index 27e56591a..c03c8eb97 100644
--- a/examples/model/model_metrics.py
+++ b/examples/model/model_metrics.py
@@ -15,4 +15,4 @@
 
 # Get the model metrics and regression predictions
 print(model.performance_metrics())
-print(model.predictions())
+print(model.get_predictions())
diff --git a/src/sageworks/core/artifacts/model_core.py b/src/sageworks/core/artifacts/model_core.py
index 36f79c543..32f9e44e1 100644
--- a/src/sageworks/core/artifacts/model_core.py
+++ b/src/sageworks/core/artifacts/model_core.py
@@ -876,7 +876,7 @@ def shapley_values(self, capture_uuid: str = "training_holdout") -> Union[list[p
 
     # Grab our regression predictions from S3
     print("Captured Predictions: (might be None)")
-    print(my_model.predictions())
+    print(my_model.get_predictions())
 
     # Grab our Shapley values from S3
     print("Shapley Values: (might be None)")
diff --git a/src/sageworks/web_components/regression_plot.py b/src/sageworks/web_components/regression_plot.py
index 7dfe6fc2e..2340226f4 100644
--- a/src/sageworks/web_components/regression_plot.py
+++ b/src/sageworks/web_components/regression_plot.py
@@ -20,7 +20,7 @@ def create_component(self, component_id: str) -> dcc.Graph:
 
     def update_properties(self, model: Model, inference_run: str = None) -> go.Figure:
         # Get predictions for specific inference
-        df = model.predictions(inference_run)
+        df = model.get_predictions(inference_run)
 
         if df is None:
             return self.display_text("No Data")
diff --git a/tests/transforms/model_metrics_tests.py b/tests/transforms/model_metrics_tests.py
index 6869e221c..6d441024c 100644
--- a/tests/transforms/model_metrics_tests.py
+++ b/tests/transforms/model_metrics_tests.py
@@ -36,7 +36,7 @@ def test_retrieval_with_capture_uuid():
         print(f"\n\n*** Retrieval with Capture UUID ({capture_uuid}) ***")
         pprint(model_class.inference_metadata(capture_uuid).head())  # Needed
         pprint(model_class.performance_metrics(capture_uuid).head())  # Might be deprecated
-        pprint(model_class.predictions(capture_uuid).head())  # Needed
+        pprint(model_class.get_predictions(capture_uuid).head())  # Needed
         pprint(model_class.confusion_matrix(capture_uuid))  # Might be deprecated
         # Classifiers have a list of dataframes for shap values
         shap_list = model_class.shapley_values(capture_uuid)