diff options
Diffstat (limited to 'misc/py-sagemaker-core')
| -rw-r--r-- | misc/py-sagemaker-core/Makefile | 30 | ||||
| -rw-r--r-- | misc/py-sagemaker-core/distinfo | 6 | ||||
| -rw-r--r-- | misc/py-sagemaker-core/pkg-descr | 18 |
3 files changed, 36 insertions, 18 deletions
diff --git a/misc/py-sagemaker-core/Makefile b/misc/py-sagemaker-core/Makefile index e6c02a325f36..bd9968f5909e 100644 --- a/misc/py-sagemaker-core/Makefile +++ b/misc/py-sagemaker-core/Makefile @@ -1,26 +1,40 @@ PORTNAME= sagemaker-core -DISTVERSION= 1.0.54 +DISTVERSION= 2.0.1 CATEGORIES= misc python # machine-learning MASTER_SITES= PYPI PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} DISTNAME= ${PORTNAME:S/-/_/}-${PORTVERSION} MAINTAINER= yuri@FreeBSD.org -COMMENT= Sagemaker core functionalities -WWW= https://github.com/aws/sagemaker-core +COMMENT= SageMaker: Core functionalities +WWW= https://github.com/aws/sagemaker-python-sdk \ + https://github.com/aws/sagemaker-core LICENSE= APACHE20 LICENSE_FILE= ${WRKSRC}/LICENSE BUILD_DEPENDS= ${PY_SETUPTOOLS} \ ${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR} -RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}boto3>=1.35.36:www/py-boto3@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}importlib-metadata>0:devel/py-importlib-metadata@${PY_FLAVOR} \ +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}attrs>=20.3.0:devel/py-attrs@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}boto3>=1.35.75<2.0.0:www/py-boto3@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}importlib-metadata>=7.0>=1.4.0:devel/py-importlib-metadata@${PY_FLAVOR} \ ${PYTHON_PKGNAMEPREFIX}jsonschema>0:devel/py-jsonschema@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}platformdirs>=4.0.0:devel/py-platformdirs@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}pydantic2>=2.0.0:devel/py-pydantic2@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}mock>0:devel/py-mock@${PY_FLAVOR} \ + ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}omegaconf>=2.1.0:devel/py-omegaconf@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pandas>=1.0.0:math/py-pandas@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}platformdirs>=4.0.0<5.0.0:devel/py-platformdirs@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}protobuf>0:devel/py-protobuf@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pydantic2>=2.0.0<3.0.0:devel/py-pydantic2@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytorch>=1.9.0:misc/py-pytorch@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytz>=2021.1:devel/py-pytz@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pyyaml>=6.0:devel/py-pyyaml@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}requests>=2.20.0<3.0.0:www/py-requests@${PY_FLAVOR} \ ${PYTHON_PKGNAMEPREFIX}rich>=13.0.0:textproc/py-rich@${PY_FLAVOR} \ - ${PYTHON_PKGNAMEPREFIX}pyyaml>=6.0:devel/py-pyyaml@${PY_FLAVOR} + ${PYTHON_PKGNAMEPREFIX}schema>=0.7.5:devel/py-schema@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}smdebug-rulesconfig>=1.0.1:misc/py-smdebug-rulesconfig@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.9.0:devel/py-typing-extensions@${PY_FLAVOR} USES= python USE_PYTHON= pep517 autoplist diff --git a/misc/py-sagemaker-core/distinfo b/misc/py-sagemaker-core/distinfo index 756437765622..3f2410a75a38 100644 --- a/misc/py-sagemaker-core/distinfo +++ b/misc/py-sagemaker-core/distinfo @@ -1,3 +1,3 @@ -TIMESTAMP = 1755879212 -SHA256 (sagemaker_core-1.0.54.tar.gz) = c3706174c346f22f85db9fd0ab8bb54a4112c089faeb055a68a2677e30ce9b3b -SIZE (sagemaker_core-1.0.54.tar.gz) = 411314 +TIMESTAMP = 1763925117 +SHA256 (sagemaker_core-2.0.1.tar.gz) = dc2e0e56c17bd742fd6121f9c1bc87e232d4d0f63577389e9caa5066cae3e087 +SIZE (sagemaker_core-2.0.1.tar.gz) = 1002160 diff --git a/misc/py-sagemaker-core/pkg-descr b/misc/py-sagemaker-core/pkg-descr index 3ecd7c4fbe95..dfd4e8a947b2 100644 --- a/misc/py-sagemaker-core/pkg-descr +++ b/misc/py-sagemaker-core/pkg-descr @@ -1,7 +1,11 @@ -sagemaker-core is a Python SDK designed to provide an object-oriented interface -for interacting with Amazon SageMaker resources. It offers full parity with -SageMaker APIs, allowing developers to leverage all SageMaker capabilities -directly through the SDK. sagemaker-core introduces features such as dedicated -resource classes, resource chaining, auto code completion, comprehensive -documentation and type hints to enhance the developer experience as well as -productivity. +sagemaker-core 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. |