diff options
Diffstat (limited to 'misc/py-smdebug-rulesconfig')
| -rw-r--r-- | misc/py-smdebug-rulesconfig/Makefile | 19 | ||||
| -rw-r--r-- | misc/py-smdebug-rulesconfig/distinfo | 3 | ||||
| -rw-r--r-- | misc/py-smdebug-rulesconfig/pkg-descr | 13 |
3 files changed, 35 insertions, 0 deletions
diff --git a/misc/py-smdebug-rulesconfig/Makefile b/misc/py-smdebug-rulesconfig/Makefile new file mode 100644 index 000000000000..7453602b9b5b --- /dev/null +++ b/misc/py-smdebug-rulesconfig/Makefile @@ -0,0 +1,19 @@ +PORTNAME= smdebug-rulesconfig +DISTVERSION= 1.0.1 +CATEGORIES= misc python # machine-learning +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} +DISTNAME= ${PORTNAME:S/-/_/}-${PORTVERSION} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= SageMaker: SMDebug RulesConfig (library for Amazon Sagemaker) +WWW= https://github.com/awslabs/sagemaker-debugger-rulesconfig + +LICENSE= APACHE20 + +USES= python +USE_PYTHON= distutils autoplist + +NO_ARCH= yes + +.include <bsd.port.mk> diff --git a/misc/py-smdebug-rulesconfig/distinfo b/misc/py-smdebug-rulesconfig/distinfo new file mode 100644 index 000000000000..375a74ff9c53 --- /dev/null +++ b/misc/py-smdebug-rulesconfig/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1755880100 +SHA256 (smdebug_rulesconfig-1.0.1.tar.gz) = 7a19e6eb2e6bcfefbc07e4a86ef7a88f32495001a038bf28c7d8e77ab793fcd6 +SIZE (smdebug_rulesconfig-1.0.1.tar.gz) = 12060 diff --git a/misc/py-smdebug-rulesconfig/pkg-descr b/misc/py-smdebug-rulesconfig/pkg-descr new file mode 100644 index 000000000000..8d569260be8e --- /dev/null +++ b/misc/py-smdebug-rulesconfig/pkg-descr @@ -0,0 +1,13 @@ +Amazon SageMaker Debugger is designed to be a debugger for machine learning +models. It lets you go beyond just looking at scalars like losses and +accuracies during training and gives you full visibility into all tensors +'flowing through the graph' during training or inference. + +Amazon SageMaker Debugger RulesConfig provides a mapping of builtin rules with +default configurations. These configurations will affect both DebugHookConfig +and DebugRuleConfigurations in the Amazon SageMaker Python SDK. + +This library, intended to be used with Amazon SageMaker Python SDK, helps you +specify builtin rules without worrying about any details or tweak the +configuration of builtin rules. These builtin rules are available in Amazon +SageMaker. |