From 7a83ec3827555ac08fe5bbd5314ff7a1e5c8e81f Mon Sep 17 00:00:00 2001
From: TRAN QUANG HUYEN <48154203+Tqhuyen@users.noreply.github.com>
Date: Mon, 20 Feb 2023 15:37:50 +0700
Subject: [PATCH] Update h1st-graph.rst.txt

---
 docs/source/tutorials/quick-start/h1st-graph.rst.txt | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/source/tutorials/quick-start/h1st-graph.rst.txt b/docs/source/tutorials/quick-start/h1st-graph.rst.txt
index ba962f7d..61fb6a27 100644
--- a/docs/source/tutorials/quick-start/h1st-graph.rst.txt
+++ b/docs/source/tutorials/quick-start/h1st-graph.rst.txt
@@ -18,7 +18,7 @@ number. The Action HelloPrinter is only passed the even-number data where the
 model returned True. 
 
 .. code-block:: python
-
+  import h1st as h1
   from h1st.model.model import Model
   from h1st.h1flow.h1step import Action
 
@@ -26,7 +26,7 @@ model returned True.
       """
       Simple rule-based model that "predicts" if a given value is an even number
       """
-      def process(self, input_data: dict) -> dict:
+      def predict(self, input_data: dict) -> dict:
           predictions = [{'prediction': x % 2 == 0, 'value': x} for x in input_data["values"]]
           return {"predictions": predictions}
 
@@ -51,7 +51,7 @@ The H1st graph itself is created by adding nodes incrementally.
 
   # In the first Node, the data is passed to the RuleBasedModel's "process"
   # method and a Decision is rendered from model output.
-  g.add(h1.Decision(RuleBasedModel(),
+  g.add(Decision(RuleBasedModel(),
                     result_field="predictions",
                     decision_field="prediction"))