| Port details |
- py-sagemaker-serve SageMaker: Library for training & deploying models on Amazon SageMaker
- 1.15.0 misc
 =0      1.0_1Version of this port present on the latest quarterly branch. - Maintainer: yuri@FreeBSD.org
- Port Added: 2025-12-03 11:03:06
- Last Update: 2026-06-29 16:21:16
- Commit Hash: bcd6f78
- Also Listed In: python
- License: APACHE20
- WWW:
- https://sagemaker.readthedocs.io/en/stable/
- https://github.com/aws/sagemaker-python-sdk
- Description:
- sagemaker-train is a part of the SageMaker Python SDK.
SageMaker Python SDK is an open source library for training and deploying
machine learning models on Amazon SageMaker.
With the SDK, you can train and deploy models using popular deep learning
frameworks Apache MXNet and TensorFlow. You can also train and deploy
models with Amazon algorithms, which are scalable implementations of core
machine learning algorithms that are optimized for SageMaker and GPU training.
If you have your own algorithms built into SageMaker compatible Docker
containers, you can train and host models using these as well.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}sagemaker-serve>0:misc/py-sagemaker-serve@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/misc/py-sagemaker-serve/ && make install clean
- To add the package, run one of these commands:
- pkg install misc/py-sagemaker-serve
- pkg install py312-sagemaker-serve
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py312-sagemaker-serve listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py312-sagemaker-serve
- Package flavors (<flavor>: <package>)
- py312: py312-sagemaker-serve
- distinfo:
- TIMESTAMP = 1782630551
SHA256 (sagemaker_serve-1.15.0.tar.gz) = 7ab813a54c373bb02ff616209ced0a0d4fc0fae21af51b44824e588c0ee72675
SIZE (sagemaker_serve-1.15.0.tar.gz) = 181215
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py312-setuptools>0 : devel/py-setuptools@py312
- py312-wheel>0 : devel/py-wheel@py312
- python3.12 : lang/python312
- py312-build>=0 : devel/py-build@py312
- py312-installer>=0 : devel/py-installer@py312
- Test dependencies:
-
- python3.12 : lang/python312
- Runtime dependencies:
-
- py312-boto3>=1.42.2<2.0 : www/py-boto3@py312
- py312-botocore>=1.35.75<2.0 : devel/py-botocore@py312
- py312-deepdiff>0 : devel/py-deepdiff@py312
- py312-mlflow-skinny>0 : misc/py-mlflow-skinny@py312
- py312-onnx>0 : misc/py-onnx@py312
- py312-psutil>=0 : sysutils/py-psutil@py312
- py312-pytest>0 : devel/py-pytest@py312
- py312-pytorch>0 : misc/py-pytorch@py312
- py312-sagemaker-core>=2.14.0 : misc/py-sagemaker-core@py312
- py312-sagemaker-schema-inference-artifacts>=0 : misc/py-sagemaker-schema-inference-artifacts@py312
- py312-sagemaker-train>=1.14.0 : misc/py-sagemaker-train@py312
- py312-tqdm>0 : misc/py-tqdm@py312
- py312-tritonclient>0 : misc/py-tritonclient@py312
- python3.12 : lang/python312
- This port is required by:
- for Run
-
- misc/py-sagemaker
- misc/py-sagemaker-mlops
Configuration Options:- ===> The following configuration options are available for py312-sagemaker-serve-1.15.0:
ONNXRUNTIME=off: ONNX Runtime support (currently broken, disable to build)
===> Use 'make config' to modify these settings
- Options name:
- misc_py-sagemaker-serve
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
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Number of commits found: 6
Number of commits found: 6
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