diff --git a/examples/train_rf_breast_cancer.py b/examples/train_rf_breast_cancer.py
index f5afad5d..48184586 100644
--- a/examples/train_rf_breast_cancer.py
+++ b/examples/train_rf_breast_cancer.py
@@ -24,9 +24,14 @@
     model.fit(X_train, y_train)
 
     logging.info("Wrapping the model and data in a Target object")
-    target = Target(model=model)
-    target.dataset_name = "breast cancer"
-    target.add_processed_data(X_train, y_train, X_test, y_test)
+    target = Target(
+        model=model,
+        dataset_name="breast cancer",
+        X_train=X_train,
+        y_train=y_train,
+        X_test=X_test,
+        y_test=y_test,
+    )
 
     logging.info("Writing Target object to directory: '%s'", output_dir)
     target.save(output_dir)
diff --git a/examples/train_rf_nursery.py b/examples/train_rf_nursery.py
index 980ea876..4d604872 100644
--- a/examples/train_rf_nursery.py
+++ b/examples/train_rf_nursery.py
@@ -42,10 +42,22 @@
     logging.info("Base model test accuracy: %.4f", acc_test)
 
     logging.info("Wrapping the model and data in a Target object")
-    target = Target(model=model)
-    target.dataset_name = "nursery"
-    target.add_processed_data(X_train, y_train, X_test, y_test)
-    target.add_raw_data(X, y, X_train_orig, y_train_orig, X_test_orig, y_test_orig)
+    target = Target(
+        model=model,
+        dataset_name="nursery",
+        # processed data
+        X_train=X_train,
+        y_train=y_train,
+        X_test=X_test,
+        y_test=y_test,
+        # original unprocessed data
+        X_orig=X,
+        y_orig=y,
+        X_train_orig=X_train_orig,
+        y_train_orig=y_train_orig,
+        X_test_orig=X_test_orig,
+        y_test_orig=y_test_orig,
+    )
 
     logging.info("Wrapping feature details and encoding for attribute inference")
     feature_indices = [
@@ -59,7 +71,11 @@
         [24, 25, 26],  # health
     ]
     for i, index in enumerate(feature_indices):
-        target.add_feature(nursery_data.feature_names[i], index, "onehot")
+        target.add_feature(
+            name=nursery_data.feature_names[i],
+            indices=index,
+            encoding="onehot",
+        )
 
     logging.info("Writing Target object to directory: '%s'", output_dir)
     target.save(output_dir)