BSD Portsai/py-smdebug-rulesconfig 1.0.1_1 MidnightBSD
SageMaker: SMDebug RulesConfig (library for Amazon Sagemaker)
- System
- MidnightBSD
- Repository
- mports
- Maintainer
- [email protected]
- Port added
- Last update
- Commit
b807d69740- License
- Apache-2.0
- Categories
- ai, python
Description
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.
Install
Binary package:
mport install ${PYTHON_PKGNAMEPREFIX}smdebug-rulesconfigFrom mports:
cd /usr/mports/ai/py-smdebug-rulesconfig && make install cleanTo depend on this port in another port's Makefile:
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}smdebug-rulesconfig>0:ai/py-smdebug-rulesconfigDependencies
Required by 1
Configuration
No options to configure.
- USES
- python
- Service scripts
- none
Files
distinfo 1
| File | Size | SHA256 |
|---|---|---|
| smdebug_rulesconfig-1.0.1.tar.gz | 12060 | 7a19e6eb2e6bcfefbc07e4a86ef7a88f32495001a038bf28c7d8e77ab793fcd6 |
Master sites 1
- PYPI
Commit history 1
| Date | Commit | Credits | Log message |
|---|---|---|---|
b807d69740 |
Lucas Holt | Add LangChain AI ports and dependencies AI-Assisted-by: OpenAI Codex <[email protected]>
Signed-off-by: Lucas Holt <[email protected]> |