misc/py-sagemaker-mlflow: New port: SageMaker: AWS Plugin for MLflow with SageMaker
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@@ -614,6 +614,7 @@
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SUBDIR += py-safetensors
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SUBDIR += py-sagemaker
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SUBDIR += py-sagemaker-core
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SUBDIR += py-sagemaker-mlflow
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SUBDIR += py-sagemaker-mlops
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SUBDIR += py-sagemaker-schema-inference-artifacts
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SUBDIR += py-sagemaker-serve
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@@ -0,0 +1,25 @@
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PORTNAME= sagemaker-mlflow
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DISTVERSION= 0.5.0
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CATEGORIES= misc python # machine-learning
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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DISTNAME= ${PORTNAME:S/-/_/_}-${DISTVERSION}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= SageMaker: AWS Plugin for MLflow with SageMaker
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WWW= https://github.com/aws/sagemaker-mlflow
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LICENSE= APACHE20
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PY_SETUPTOOLS} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}boto3>=1.34:www/py-boto3@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}mlflow-skinny>=2.8:misc/py-mlflow-skinny@${PY_FLAVOR}
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USES= python
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USE_PYTHON= pep517 autoplist concurrent
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NO_ARCH= yes
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.include <bsd.port.mk>
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@@ -0,0 +1,3 @@
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TIMESTAMP = 1782631060
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SHA256 (sagemaker_mlflow-0.5.0.tar.gz) = 6786b9aa738bf0ec551dc99bd44069ac39ad202fa234f99b2fc914556f1af2f2
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SIZE (sagemaker_mlflow-0.5.0.tar.gz) = 22371
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@@ -0,0 +1,2 @@
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sagemaker-mlflow is an AWS plugin for MLflow that integrates MLflow tracking
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and model registry with Amazon SageMaker.
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