fix: paths of configs

Author: Marcelo Cunha

4-Deployment/Batch/config/solution_lab2.py

@@ -34,7 +34,7 @@ def get_estimator_from_lab2(docker_image_name, framework_version):
     print("Please wait 5 minutes for the training job to run.")
 
     # Set the paths for the datasets saved locally
-    path_to_lab2 = "/root/amazon-sagemaker-workshop/2-Modeling/"
+    path_to_lab2 = "/root/sagemaker-end-to-end-workshop/2-Modeling/"
 
     local_train_path = path_to_lab2 + 'config/train.csv'
     train_df = pd.read_csv(local_train_path, header=None)

4-Deployment/RealTime/config/solution_lab2.py

@@ -34,7 +34,7 @@ def get_estimator_from_lab2(docker_image_name, framework_version):
     print("Please wait 5 minutes for the training job to run.")
 
     # Set the paths for the datasets saved locally
-    path_to_lab2 = "/root/amazon-sagemaker-workshop/2-Modeling/"
+    path_to_lab2 = "/root/sagemaker-end-to-end-workshop/2-Modeling/"
 
     local_train_path = path_to_lab2 + 'config/train.csv'
     train_df = pd.read_csv(local_train_path, header=None)

5-Monitoring/config/solution_lab4.py

@@ -23,8 +23,8 @@ def get_endpoint_from_lab4():
     print("Please wait ~10 minutes for the endpoint to be deployed.")
 
     # Set the paths for the datasets saved locally
-    path_to_lab2 = "/root/amazon-sagemaker-workshop/2-Modeling/"
-    path_to_lab5 = "/root/amazon-sagemaker-workshop/5-Monitoring/"
+    path_to_lab2 = "/root/sagemaker-end-to-end-workshop/2-Modeling/"
+    path_to_lab5 = "/root/sagemaker-end-to-end-workshop/5-Monitoring/"
 
     local_train_path = path_to_lab2 + 'config/train.csv'
     train_df = pd.read_csv(local_train_path, header=None)