cleaning pipeline

Author: marcelcastrobr

04_training_pipeline/pipeline.ipynb

@@ -113,7 +113,7 @@
     "role = sagemaker.get_execution_role()\n",
     "\n",
     "default_bucket = sagemaker_session.default_bucket() # or use your own custom bucket name\n",
-    "base_job_prefix = \"test\" # or define your own prefix\n",
+    "base_job_prefix = \"cv-sagemaker-immersionday\" # or define your own prefix\n",
     "\n",
     "model_package_group_name = f\"{base_job_prefix}-model-group\"  # Model name in model registry\n",
     "pipeline_name = f\"{base_job_prefix}-pipeline\"  # SageMaker Pipeline name"
@@ -146,8 +146,7 @@
     }
    ],
    "source": [
-    "#s3_raw_data = f's3://{default_bucket}/{base_job_prefix}/full/data'\n",
-    "s3_raw_data = f's3://{default_bucket}/cv-sagemaker-immersionday/full/data'\n",
+    "s3_raw_data = f's3://{default_bucket}/{base_job_prefix}/full/data'\n",
     "print(s3_raw_data)"
    ]
   },