penguins/penguins-teardown.ipynb

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    "# Tear Down\n",
    "\n",
    "This notebook contains functionality to clean up some of the resources we created during the program.\n",
    "\n",
    "This notebook is part of the [Machine Learning School](https://www.ml.school) program."
   ]
  },
  {
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   "metadata": {
    "tags": []
   },
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   "source": [
    "import boto3\n",
    "\n",
    "sagemaker_client = boto3.client(\"sagemaker\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3776ff6b-a986-4695-ad2d-30d98583809d",
   "metadata": {},
   "source": [
    "## Clean up Model Registry\n",
    "\n",
    "This section deletes every model registered under a specific model group and then it removes the model group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "89ee70a2-c0c1-4167-bb6b-65d620767fdf",
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    "tags": []
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   "source": [
    "MODEL_PACKAGE_GROUP = \"sample\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "212a0538-62b5-4875-a59c-1a4e1a833a07",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for mp in sagemaker_client.list_model_packages(ModelPackageGroupName=MODEL_PACKAGE_GROUP)[\"ModelPackageSummaryList\"]:\n",
    "    print(f\"Deleting {mp['ModelPackageArn']}\")\n",
    "    sagemaker_client.delete_model_package(ModelPackageName=mp[\"ModelPackageArn\"])\n",
    "\n",
    "sagemaker_client.delete_model_package_group(ModelPackageGroupName=MODEL_PACKAGE_GROUP)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "8496a6cc-6c4c-49eb-bf2b-148cca65712b",
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