sagemaker-train@1.4.1

Open source library for training and deploying models on Amazon SageMaker.

2026-02-11 Python >=3.10 wheel sdist

pip install sagemaker-train==1.4.1

poetry add sagemaker-train==1.4.1

pipenv install sagemaker-train==1.4.1

conda install sagemaker-train=1.4.1

依赖
`sagemaker-core>=2.14.0`
`graphene<4,>=3`
`typing_extensions>=4.9.0`
`tblib>=1.7.0`
`PyYAML<7.0,>=6.0`
`paramiko>=2.11.0`
`jinja2<4.0,>=3.0`
`sagemaker-mlflow<1.0.0,>=0.0.1`
`mlflow<4.0.0,>=3.0.0`
`nest_asyncio>=1.5.0`
`requests>=2.28.0`
`pydantic>=2.0.0`
`strands-agents; extra == "rft-strands"`
`httpx>=0.24.0; extra == "rft-langchain"`
`pytest; extra == "test"`
`pytest-cov; extra == "test"`
`pytest-xdist; extra == "test"`
`mock; extra == "test"`
`pydantic; extra == "test"`
`pandas; extra == "test"`
`scipy; extra == "test"`
`omegaconf; extra == "test"`
`graphene; extra == "test"`
`IPython; extra == "test"`
`ipywidgets>=8.0.0; extra == "notebook"`
`rich>=13.0.0; extra == "notebook"`
`matplotlib>=3.5.0; extra == "notebook"`

文件名	类型	Python 版本	大小
sagemaker_train-1.4.1-py3-none-any.whl	bdist_wheel	`py3`	250667 bytes
sagemaker_train-1.4.1.tar.gz	sdist	`source`	191115 bytes

1.14.0 2026-06-18

1.13.1 2026-06-05

1.13.0 2026-06-03

1.12.0 2026-05-20

1.11.0 2026-05-12

1.10.1 2026-05-08

1.10.0 2026-05-01

1.9.0 2026-04-23

1.8.0 2026-04-16

1.7.1 2026-03-31

1.7.0 2026-03-25

1.6.0 2026-03-19

1.5.0 2026-03-03

1.4.1 2026-02-11

1.4.0 2026-01-22

1.3.1 2026-01-12

1.3.0 2025-12-20

1.2.0 2025-12-19

1.1.1 2025-12-11

1.1.0 2025-12-03

1.0 2025-11-20