PR edits

end_to_end/music_recommendation/01_data_exploration.ipynb

@@ -238,7 +238,7 @@
    "source": [
     "ratings[[\"ratingEventId\", \"userId\"]].plot.hist(\n",
     "    by=\"userId\", bins=50, title=\"Distribution of # of Ratings by User\"\n",
-    ");"
+    ")"
    ]
   },
   {

end_to_end/music_recommendation/02_export_feature_groups.ipynb

@@ -93,7 +93,7 @@
     "import os\n",
     "from awscli.customizations.s3.utils import split_s3_bucket_key\n",
     "\n",
-    "# Sagemaker session\n",
+    "# SageMaker session\n",
     "sess = sagemaker.Session()\n",
     "# get session bucket name\n",
     "bucket = sess.default_bucket()\n",
@@ -102,9 +102,7 @@
     "# s3 client\n",
     "s3_client = boto3.client(\"s3\")\n",
     "\n",
-    "print(f\"this is your default SageMaker Studio bucket name: {bucket}\")\n",
-    "\n",
-    "# ps.add({'bucket': bucket, 'prefix': prefix}, namespace='music-rec')"
+    "print(f\"this is your default SageMaker Studio bucket name: {bucket}\")"
    ]
   },
   {
@@ -449,15 +447,7 @@
     "# controls if online store is enabled. Enabling the online store allows quick access to\n",
     "# the latest value for a Record via the GetRecord API.\n",
     "enable_online_store = True\n",
-    "fg_name_tracks = feature_group_name\n",
-    "dw_ecrlist = {\n",
-    "    \"region\": {\n",
-    "        \"us-west-2\": \"174368400705\",\n",
-    "        \"us-east-2\": \"415577184552\",\n",
-    "        \"us-west-1\": \"926135532090\",\n",
-    "        \"us-east-1\": \"663277389841\",\n",
-    "    }\n",
-    "}"
+    "fg_name_tracks = feature_group_name"
    ]
   },
   {
@@ -799,7 +789,7 @@
    "outputs": [],
    "source": [
     "# Data Wrangler Container URL.\n",
-    "container_uri = f\"{dw_ecrlist['region'][region]}.dkr.ecr.{region}.amazonaws.com/sagemaker-data-wrangler-container:1.x\"\n",
+    "container_uri = sagemaker.image_uris.retrieve(framework=\"data-wrangler\", region=region)\n",
     "\n",
     "# Processing Job Instance count and instance type.\n",
     "instance_count = 2\n",
@@ -1047,7 +1037,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "check if the athena queres have been done and the data sets exist, then just do train test split or just proceed to training"
+    "Check if the Athena queries have been done and the data sets exist, then just do train test split or just proceed to training"
    ]
   },
   {

end_to_end/music_recommendation/03_train_deploy_debugger_explain_monitor_registry.ipynb

@@ -95,7 +95,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Sagemaker session\n",
+    "# SageMaker session\n",
     "sess = sagemaker.Session()\n",
     "# get session bucket name\n",
     "bucket = sess.default_bucket()\n",
@@ -312,7 +312,6 @@
     "    instance_type=train_instance_type,\n",
     "    image_uri=image,\n",
     "    hyperparameters=hyperparameters,\n",
-    "    #     base_job_name=model_name,\n",
     "    output_path=estimator_output_path,\n",
     "    debugger_hook_config=DebuggerHookConfig(\n",
     "        s3_output_path=estimator_output_path + \"/debugger\",\n",

end_to_end/music_recommendation/end_to_end_pipeline.ipynb

@@ -461,15 +461,7 @@
     "# Define feature group names we previously created in notebooks 02a-c\n",
     "fg_name_tracks = \"track-features-music-rec\"\n",
     "fg_name_ratings = \"ratings-features-music-rec\"\n",
-    "fg_name_user_preferences = \"user-5star-track-features-music-rec\"\n",
-    "dw_ecrlist = {\n",
-    "    \"region\": {\n",
-    "        \"us-west-2\": \"174368400705\",\n",
-    "        \"us-east-2\": \"415577184552\",\n",
-    "        \"us-west-1\": \"926135532090\",\n",
-    "        \"us-east-1\": \"663277389841\",\n",
-    "    }\n",
-    "}"
+    "fg_name_user_preferences = \"user-5star-track-features-music-rec\""
    ]
   },
   {
@@ -540,7 +532,7 @@
     "# Data Wrangler Container URL\n",
     "# You can also find the proper container uri by exporting your Data Wrangler flow to a pipeline notebook\n",
     "\n",
-    "container_uri = f\"{dw_ecrlist['region'][region]}.dkr.ecr.{region}.amazonaws.com/sagemaker-data-wrangler-container:1.x\"\n",
+    "container_uri = sagemaker.image_uris.retrieve(framework=\"data-wrangler\", region=region)\n",
     "\n",
     "\n",
     "flow_processor = sagemaker.processing.Processor(\n",