diff options
| author | Yuri Victorovich <yuri@FreeBSD.org> | 2025-12-02 21:19:09 +0000 |
|---|---|---|
| committer | Yuri Victorovich <yuri@FreeBSD.org> | 2025-12-03 00:20:48 +0000 |
| commit | c5dc7be9e456ea96f63191699f1881866358c49e (patch) | |
| tree | 6ba62869237b3bda2b2aa1e1597f2800ea5a5bb7 | |
| parent | d573134d9fc1b24f1bef64ac00273bd5fdaec456 (diff) | |
misc/py-sagemaker-train: Update WWW and pkg-descr
| -rw-r--r-- | misc/py-sagemaker-train/Makefile | 5 | ||||
| -rw-r--r-- | misc/py-sagemaker-train/pkg-descr | 15 |
2 files changed, 7 insertions, 13 deletions
diff --git a/misc/py-sagemaker-train/Makefile b/misc/py-sagemaker-train/Makefile index f457f72a9c19..e098881acf08 100644 --- a/misc/py-sagemaker-train/Makefile +++ b/misc/py-sagemaker-train/Makefile @@ -6,9 +6,8 @@ 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 +COMMENT= SageMaker: Amazon Training Toolkit +WWW= https://github.com/aws/sagemaker-training-toolkit LICENSE= APACHE20 LICENSE_FILE= ${WRKSRC}/LICENSE diff --git a/misc/py-sagemaker-train/pkg-descr b/misc/py-sagemaker-train/pkg-descr index 16dad05472d1..00dd3e52a609 100644 --- a/misc/py-sagemaker-train/pkg-descr +++ b/misc/py-sagemaker-train/pkg-descr @@ -1,11 +1,6 @@ -sagemaker-train is a part of the SageMaker Python SDK. +sagemaker-train is an Amazon SageMaker Training Toolkit. -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. +This library allows you to write a script to train a model in Amazon +SageMaker. It provides functionality for your training script to communicate +with the SageMaker training environment, including writing metrics, saving +models, and accessing hyperparameters and other configuration. |