From 99286e7bd42494028af236cdeba66bd8af86c750 Mon Sep 17 00:00:00 2001
From: sauyon <2347889+sauyon@users.noreply.github.com>
Date: Tue, 1 Nov 2022 15:27:57 -0700
Subject: [PATCH] make quickstart batchable

---
 examples/quickstart/service.py | 2 +-
 examples/quickstart/train.py   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/quickstart/service.py b/examples/quickstart/service.py
index f96f8b9fc54..c2e356cc371 100644
--- a/examples/quickstart/service.py
+++ b/examples/quickstart/service.py
@@ -9,7 +9,7 @@
 
 
 @svc.api(
-    input=NumpyNdarray.from_sample(np.array([[4.9, 3.0, 1.4, 0.2]], dtype=np.double)),
+    input=NumpyNdarray.from_sample(np.array([[4.9, 3.0, 1.4, 0.2]], dtype=np.double), enforce_shape=False),
     output=NumpyNdarray(),
 )
 async def classify(input_series: np.ndarray) -> np.ndarray:
diff --git a/examples/quickstart/train.py b/examples/quickstart/train.py
index 3ab83b6f574..985103e956d 100644
--- a/examples/quickstart/train.py
+++ b/examples/quickstart/train.py
@@ -18,5 +18,5 @@
     clf.fit(X, y)
 
     # Save model to BentoML local model store
-    saved_model = bentoml.sklearn.save_model("iris_clf", clf)
+    saved_model = bentoml.sklearn.save_model("iris_clf", clf, signatures={"predict": {"batchable": True, "batch_dim": 0}})
     print(f"Model saved: {saved_model}")