ai/py-sagemaker-train 1.15.0 MidnightBSD

SageMaker: Amazon Training Toolkit

System: MidnightBSD
Repository: mports
Maintainer: [email protected]
Port added: 2026-07-14
Last update: 2026-07-14
Commit: b807d69740
License: Apache-2.0
Categories: ai, python

Description

sagemaker-train is an Amazon SageMaker Training Toolkit.

This library allows you to write a script to train a model in Amazon SageMaker. It provides functionality for your training script to communicate with the SageMaker training environment, including writing metrics, saving models, and accessing hyperparameters and other configuration.

Version history 1

1.15.0 2026-07-14 b807d69740

Upstream's version as each commit to the port's Makefile set it, or as this site first saw it in the system's packages; the tree's own revisions are not versions here.

Install

Binary package:

mport install ${PYTHON_PKGNAMEPREFIX}sagemaker-train

From mports:

cd /usr/mports/ai/py-sagemaker-train && make install clean

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

RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}sagemaker-train>0:ai/py-sagemaker-train

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

graph LR
  me["ai/py-sagemaker-train"]
  u0["ai/py-sagemaker"] --> me
  u1["ai/py-sagemaker-mlops"] --> me
  u2["ai/py-sagemaker-serve"] --> me
  me --> d0["ai/py-mlflow-skinny"]
  me --> d1["ai/py-sagemaker-core"]
  me --> d2["ai/py-sagemaker-mlflow"]
  me --> d3["devel/py-Jinja2"]
  me --> d4["devel/py-graphene"]
  me --> d5["devel/py-nest-asyncio"]
  me --> d6["devel/py-pydantic2"]
  me --> d7["devel/py-pyyaml"]
  me -.-> dmore(["4 more"])
  classDef this fill:#ab2b28,color:#ffffff,stroke:#ab2b28
  class me this

Dependencies

As this port's Makefile names them.

Build 1

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

Runtime 12

${PYTHON_PKGNAMEPREFIX}graphene>=3 : devel/py-graphene
${PYTHON_PKGNAMEPREFIX}Jinja2>=3.0 : devel/py-Jinja2
${PYTHON_PKGNAMEPREFIX}mlflow-skinny>=3.0.0 : ai/py-mlflow-skinny
${PYTHON_PKGNAMEPREFIX}nest-asyncio>=1.5.0 : devel/py-nest-asyncio
${PYTHON_PKGNAMEPREFIX}paramiko>=2.11.0 : security/py-paramiko
${PYTHON_PKGNAMEPREFIX}pydantic2>=2.0.0 : devel/py-pydantic2
${PYTHON_PKGNAMEPREFIX}pyyaml>=6.0 : devel/py-pyyaml
${PYTHON_PKGNAMEPREFIX}requests>=2.28.0 : www/py-requests
${PYTHON_PKGNAMEPREFIX}sagemaker-core>=2.14.0 : ai/py-sagemaker-core
${PYTHON_PKGNAMEPREFIX}sagemaker-mlflow>=0.0.1 : ai/py-sagemaker-mlflow
${PYTHON_PKGNAMEPREFIX}tblib>=1.7.0 : devel/py-tblib
${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.9.0 : devel/py-typing-extensions

Build dependencies 1

devel/py-wheel

Run dependencies 12

Required by 3

Configuration

No options to configure.

USES: python
Service scripts: none

Files

distinfo 1

File

Size

SHA256

sagemaker_train-1.15.0.tar.gz

332833

04373b6ce9371cbc93184d7d30541f277ba06b1f8be65088e93fbc62ab2df2a6

Master sites 1

PYPI

Commit history 1

Date Commit Credits Log message

2026-07-14

b807d69740

Lucas Holt

Add LangChain AI ports and dependencies

AI-Assisted-by: OpenAI Codex <[email protected]> Signed-off-by: Lucas Holt <[email protected]>