diff options
Diffstat (limited to 'misc/py-sagemaker-train')
| -rw-r--r-- | misc/py-sagemaker-train/Makefile | 30 | ||||
| -rw-r--r-- | misc/py-sagemaker-train/distinfo | 3 | ||||
| -rw-r--r-- | misc/py-sagemaker-train/files/patch-pyproject.toml | 16 | ||||
| -rw-r--r-- | misc/py-sagemaker-train/pkg-descr | 11 |
4 files changed, 60 insertions, 0 deletions
diff --git a/misc/py-sagemaker-train/Makefile b/misc/py-sagemaker-train/Makefile new file mode 100644 index 000000000000..f457f72a9c19 --- /dev/null +++ b/misc/py-sagemaker-train/Makefile @@ -0,0 +1,30 @@ +PORTNAME= sagemaker-train +DISTVERSION= 1.0 +CATEGORIES= misc python # machine-learning +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} +DISTNAME= ${PORTNAME:S/-/_/}-${PORTVERSION} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= SageMaker: Library for training & deploying models on Amazon SageMaker +WWW= https://sagemaker.readthedocs.io/en/stable/ \ + https://github.com/aws/sagemaker-python-sdk + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +BUILD_DEPENDS= ${PY_SETUPTOOLS} \ + ${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR} +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}graphene>=3:devel/py-graphene@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}paramiko>=2.11.0:security/py-paramiko@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}sagemaker-core>=2.0.0:misc/py-sagemaker-core@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}tblib>=1.7.0:devel/py-tblib@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.9.0:devel/py-typing-extensions@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pyyaml>=6.0:devel/py-pyyaml@${PY_FLAVOR} + +USES= python +USE_PYTHON= pep517 autoplist + +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/misc/py-sagemaker-train/distinfo b/misc/py-sagemaker-train/distinfo new file mode 100644 index 000000000000..4e4a1c12ad89 --- /dev/null +++ b/misc/py-sagemaker-train/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1764170921 +SHA256 (sagemaker_train-1.0.tar.gz) = 0f216cde9a8757790c15e34c7199bcc81fdf03ea133c95d5f3388e45661226b5 +SIZE (sagemaker_train-1.0.tar.gz) = 92616 diff --git a/misc/py-sagemaker-train/files/patch-pyproject.toml b/misc/py-sagemaker-train/files/patch-pyproject.toml new file mode 100644 index 000000000000..c26ea4aad737 --- /dev/null +++ b/misc/py-sagemaker-train/files/patch-pyproject.toml @@ -0,0 +1,16 @@ +--- pyproject.toml.orig 2025-11-26 15:41:24 UTC ++++ pyproject.toml +@@ -1,5 +1,5 @@ + [build-system] +-requires = ["setuptools>=64", "wheel"] ++requires = ["setuptools", "wheel"] + build-backend = "setuptools.build_meta" + + [project] +@@ -73,4 +73,4 @@ line-length = 100 + line-length = 100 + + [tool.setuptools] +-include-package-data = true +\ No newline at end of file ++include-package-data = true diff --git a/misc/py-sagemaker-train/pkg-descr b/misc/py-sagemaker-train/pkg-descr new file mode 100644 index 000000000000..16dad05472d1 --- /dev/null +++ b/misc/py-sagemaker-train/pkg-descr @@ -0,0 +1,11 @@ +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. |