From d528a11bef3793158c221e0352e073a5ee8d9ae5 Mon Sep 17 00:00:00 2001
From: David Espejo <82604841+davidmirror-ops@users.noreply.github.com>
Date: Fri, 28 Oct 2022 14:44:31 -0500
Subject: [PATCH] Update house_price_predictor.py

Proposing explicit instructions to run the model locally (assuming those instructions are right)

Signed-off-by: David Espejo <82604841+davidmirror-ops@users.noreply.github.com>
---
 .../house_price_prediction/house_price_predictor.py           | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/cookbook/case_studies/ml_training/house_price_prediction/house_price_predictor.py b/cookbook/case_studies/ml_training/house_price_prediction/house_price_predictor.py
index 8b5874dea..50f2cfb6c 100644
--- a/cookbook/case_studies/ml_training/house_price_prediction/house_price_predictor.py
+++ b/cookbook/case_studies/ml_training/house_price_prediction/house_price_predictor.py
@@ -268,6 +268,8 @@ def house_price_predictor_trainer(
 # Running the Model Locally
 # ==========================
 #
-# We can run the workflow locally provided the required libraries are installed. The output would be a list of house prices, generated using the XGBoost model.
+# If the required libraries are installed, we can run the model locally using the following command:
+#    pyflyte run --remote house_price_predictor.py house_price_predictor_trainer
+# The output would be a list of house prices, generated using the XGBoost model.
 if __name__ == "__main__":
     print(house_price_predictor_trainer())