git: 03db08cb0903 - main - misc/py-sagemaker-core: Update WWW, COMMENT, pkg-descr

The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=03db08cb09039b6423391e234deecd8698692e71

commit 03db08cb09039b6423391e234deecd8698692e71
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2025-11-26 16:09:44 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2025-11-26 16:10:37 +0000

    misc/py-sagemaker-core: Update WWW, COMMENT, pkg-descr
---
 misc/py-sagemaker-core/Makefile  |  5 +++--
 misc/py-sagemaker-core/pkg-descr | 18 +++++++++++-------
 2 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/misc/py-sagemaker-core/Makefile b/misc/py-sagemaker-core/Makefile
index 7ecf532ab0ec..bd9968f5909e 100644
--- a/misc/py-sagemaker-core/Makefile
+++ b/misc/py-sagemaker-core/Makefile
@@ -6,8 +6,9 @@ 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
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.