misc/py-sagemaker-serve 1.25.0 FreeBSD

SageMaker: Library for training & deploying models on Amazon SageMaker

System: FreeBSD
Repository: FreeBSD ports
Maintainer: [email protected]
Last update: 2026-10-18
Commit: 7bd945188d
License: APACHE20
Categories: misc, python
Package size: 474.4 KiB, 3220.5 KiB installed

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.

Install

Binary package:

pkg install py312-sagemaker-serve

From the ports tree:

cd /usr/ports/misc/py-sagemaker-serve/ && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	py312-sagemaker-serve>0:misc/py-sagemaker-serve

Packages

The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.

Repository	aarch64	amd64	armv6	armv7	i386
FreeBSD:14:latest	1.23.0	1.23.0	-	-	-
FreeBSD:14:quarterly	1.23.0	1.23.0	n/a	-	-
FreeBSD:15:latest	1.23.0	1.25.0	n/a	-	-
FreeBSD:15:quarterly	1.23.0	1.23.0	n/a	n/a	n/a
FreeBSD:16:latest	1.23.0	1.25.0	n/a	n/a	n/a
FreeBSD:16:quarterly	n/a	n/a	n/a	n/a	n/a

Dependencies

As this port's Makefile names them.

Build 1

${PYTHON_PKGNAMEPREFIX}wheel>0 : devel/py-wheel

Runtime 14

${PYTHON_PKGNAMEPREFIX}boto3>=1.42.2 : www/py-boto3
${PYTHON_PKGNAMEPREFIX}botocore>=1.35.75 : devel/py-botocore
${PYTHON_PKGNAMEPREFIX}deepdiff>0 : devel/py-deepdiff
${PYTHON_PKGNAMEPREFIX}mlflow-skinny>0 : misc/py-mlflow-skinny
${PYTHON_PKGNAMEPREFIX}onnx>0 : misc/py-onnx
${PYTHON_PKGNAMEPREFIX}onnxruntime>0 : misc/py-onnxruntime
${PYTHON_PKGNAMEPREFIX}psutil>=0 : sysutils/py-psutil
${PYTHON_PKGNAMEPREFIX}pytest>0 : devel/py-pytest
${PYTHON_PKGNAMEPREFIX}pytorch>=2.0.0 : misc/py-pytorch
${PYTHON_PKGNAMEPREFIX}sagemaker-core>=2.25.0 : misc/py-sagemaker-core
${PYTHON_PKGNAMEPREFIX}sagemaker-schema-inference-artifacts>=0 : misc/py-sagemaker-schema-inference-artifacts
${PYTHON_PKGNAMEPREFIX}sagemaker-train>=1.25.0 : misc/py-sagemaker-train
${PYTHON_PKGNAMEPREFIX}tqdm>0 : misc/py-tqdm
${PYTHON_PKGNAMEPREFIX}tritonclient>0 : misc/py-tritonclient

The full lists below include those, and their dependencies in turn.

Build dependencies 16

Run dependencies 297

The first 100 are listed.

Required by 43

Configuration

No options to configure.

USES: python
Service scripts: none

Files

distinfo 1

File

Size

SHA256

sagemaker_serve-1.25.0.tar.gz

244900

680cd82db18c9b5324388f5cbf21c911834c7a9bd850635bd7a9cebe15c22b4b

Master sites 1

PYPI

Commit history 4

Date Commit Credits Log message

2026-10-18 7bd945188d Yuri Victorovich misc/py-sagemaker-serve: update 1.23.0 → 1.25.0

2026-09-26 b68db34681 Yuri Victorovich misc/py-sagemaker-serve: update 1.21.0 → 1.23.0

2026-09-11 e27ac8da63 Yuri Victorovich misc/py-sagemaker-serve: update 1.17.0 → 1.21.0

2026-07-25 73f2cec860 Yuri Victorovich misc/py-sagemaker-serve: update 1.15.0 → 1.17.0