{"added":"2026-07-14T23:28:50-04:00","apiVersion":1,"behindSince":null,"buildDepends":["devel/py-wheel"],"categories":["ai","python"],"comment":"SageMaker: Library for training \u0026 deploying models on Amazon SageMaker","compare":null,"dependentCount":null,"description":"sagemaker-train is a part of the SageMaker Python SDK.\n\nSageMaker Python SDK is an open source library for training and deploying\nmachine learning models on Amazon SageMaker.\n\nWith the SDK, you can train and deploy models using popular deep learning\nframeworks Apache MXNet and TensorFlow. You can also train and deploy\nmodels with Amazon algorithms, which are scalable implementations of core\nmachine learning algorithms that are optimized for SageMaker and GPU training.\nIf you have your own algorithms built into SageMaker compatible Docker\ncontainers, you can train and host models using these as well.","flavors":[],"html":"https://daemonports.org/midnightbsd/ai/py-sagemaker-serve/","kind":"port","lastUpdate":"2026-09-16T13:50:17-04:00","license":["Apache-2.0"],"maintainer":"ports@MidnightBSD.org","name":"${PYTHON_PKGNAMEPREFIX}sagemaker-serve","newest":false,"newestVersion":null,"noVulnData":true,"origin":"ai/py-sagemaker-serve","otherSystems":[],"packages":null,"pkgName":"${PYTHON_PKGNAMEPREFIX}sagemaker-serve-1.15.0_1","related":["ai/py-sagemaker","ai/py-sagemaker-schema-inference-artifacts"],"repository":"mports","requiredBy":["ai/py-sagemaker","ai/py-sagemaker-mlops"],"requiredByCount":2,"runDepends":["ai/py-mlflow-skinny","ai/py-onnx","ai/py-pytorch","ai/py-sagemaker-core","ai/py-sagemaker-schema-inference-artifacts","ai/py-sagemaker-train","ai/py-tritonclient","devel/py-botocore","devel/py-deepdiff","devel/py-pytest","misc/py-tqdm","sysutils/py-psutil","www/py-boto3"],"status":null,"system":"midnightbsd","systemLabel":"MidnightBSD","version":"1.15.0_1","versions":[{"commit":"b807d69740d814e9a9f67fedd06769996bcc27ea","date":"2026-07-14","version":"1.15.0"}],"vulnerabilities":null,"www":"https://sagemaker.readthedocs.io/en/stable/"}