fix model name

Author: Evandro

6-Pipelines/config/sourcedir.tar.gz

@@ -0,0 +1 @@
+{"bucket": "sagemaker-studio-us-east-1-686948287393", "prefix": "xgboost-churn", "region": "us-east-1", "docker_image_name": "683313688378.dkr.ecr.us-east-1.amazonaws.com/sagemaker-xgboost:1.3-1", "s3uri_raw": "s3://sagemaker-studio-us-east-1-686948287393/xgboost-churn/data/raw/churn.txt", "s3_dataprep_code_uri": "s3://sagemaker-studio-us-east-1-686948287393/xgboost-churn/code/preprocess.py", "s3_modeling_code_uri": "s3://sagemaker-studio-us-east-1-686948287393/xgboost-churn/code/sourcedir.tar.gz", "train_script_name": "xgboost_customer_churn.py", "s3_evaluation_code_uri": "s3://sagemaker-studio-us-east-1-686948287393/xgboost-churn/code/evaluate.py", "role": "arn:aws:iam::686948287393:role/service-role/AmazonSageMaker-ExecutionRole-20210111T113215"}

6-Pipelines/my_labs_solutions/my-solution-vars.json

@@ -1432,7 +1432,7 @@
     "        )\n",
     "    )\n",
     "\n",
-    "    model_package_group_name=\"CustomerChurnPackageGroup\"\n",
+    "    #model_package_group_name=\"CustomerChurnPackageGroup\"\n",
     "\n",
     "    # Register model step that will be conditionally executed\n",
     "    step_register = RegisterModel(\n",