sagemaker-core 2.9.0
misc/py-sagemaker-core
SageMaker: Core functionalities
Description
sagemaker-core 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.
Dependencies
- build devel/py-build
- build devel/py-installer
- build devel/py-setuptools
- build devel/py-wheel
- build lang/python311
- run devel/py-attrs
- run devel/py-importlib-metadata
- run devel/py-jsonschema
- run devel/py-mock
- run devel/py-omegaconf
- run devel/py-packaging
- run devel/py-platformdirs
- run devel/py-protobuf
- run devel/py-pydantic2
- run devel/py-pytz
- run devel/py-pyyaml
- run devel/py-schema
- run devel/py-typing-extensions
- run lang/python311
- run math/py-numpy1
- run math/py-pandas
- run misc/py-pytorch
- run misc/py-smdebug-rulesconfig
- run textproc/py-rich
- run www/py-boto3
- run www/py-requests
Commit History
may be incomplete — full history at freebsd-ports on GitHub
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