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Port details
py-sagemaker-train SageMaker: Library for training & deploying models on Amazon SageMaker
1.0 miscnew! on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one.
Maintainer: yuri@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2025-11-26 16:12:07
Last Update: 2025-11-26 16:10:37
Commit Hash: 3bfcb7d
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.
HomepageHomepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

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:
  • ${PYTHON_PKGNAMEPREFIX}sagemaker-train>0:misc/py-sagemaker-train@${PY_FLAVOR}
To install the port:
cd /usr/ports/misc/py-sagemaker-train/ && make install clean
To add the package, run one of these commands:
  • pkg install misc/py-sagemaker-train
  • pkg install py311-sagemaker-train
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 py311-sagemaker-train listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py311-sagemaker-train
Package flavors (<flavor>: <package>)
  • py311: py311-sagemaker-train
distinfo:
TIMESTAMP = 1764170921 SHA256 (sagemaker_train-1.0.tar.gz) = 0f216cde9a8757790c15e34c7199bcc81fdf03ea133c95d5f3388e45661226b5 SIZE (sagemaker_train-1.0.tar.gz) = 92616

No package information for this port in our database
Sometimes this happens. Not all ports have packages. This is doubly so for new ports, like this one.
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py311-setuptools>0 : devel/py-setuptools@py311
  2. py311-wheel>0 : devel/py-wheel@py311
  3. python3.11 : lang/python311
  4. py311-build>=0 : devel/py-build@py311
  5. py311-installer>=0 : devel/py-installer@py311
Test dependencies:
  1. python3.11 : lang/python311
Runtime dependencies:
  1. py311-graphene>=3 : devel/py-graphene@py311
  2. py311-paramiko>=2.11.0 : security/py-paramiko@py311
  3. py311-sagemaker-core>=2.0.0 : misc/py-sagemaker-core@py311
  4. py311-tblib>=1.7.0 : devel/py-tblib@py311
  5. py311-typing-extensions>=4.9.0 : devel/py-typing-extensions@py311
  6. py311-pyyaml>=6.0 : devel/py-pyyaml@py311
  7. python3.11 : lang/python311
There are no ports dependent upon this port

Configuration Options:
No options to configure
Options name:
misc_py-sagemaker-train
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/s/sagemaker_train/
  2. https://pypi.org/packages/source/s/sagemaker_train/
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Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
1.0
26 Nov 2025 16:10:37
commit hash: 3bfcb7d1b52224e5481b64c86a6ee7df13061bcfcommit hash: 3bfcb7d1b52224e5481b64c86a6ee7df13061bcfcommit hash: 3bfcb7d1b52224e5481b64c86a6ee7df13061bcfcommit hash: 3bfcb7d1b52224e5481b64c86a6ee7df13061bcf files touched by this commit
Yuri Victorovich (yuri) search for other commits by this committer
misc/py-sagemaker-train: New port: SageMaker: Library for training & deploying
models on Amazon SageMaker

Number of commits found: 1