{"library":"smdebug-rulesconfig","type":"library","category":null,"description":"SMDebug RulesConfig is a Python library that provides a mapping of built-in rules with default configurations for Amazon SageMaker Debugger. It helps users specify these rules and common collection configurations without needing to handle low-level details, working in conjunction with the Amazon SageMaker Python SDK. The current version is 1.0.1, released in December 2020. While the package itself has not seen recent updates, its functionality remains an integral part of the SageMaker Debugger ecosystem.","language":"python","status":"active","version":"1.0.1","tags":["aws","sagemaker","debugger","machine-learning","mlops","model-debugging"],"install":[{"cmd":"pip install smdebug-rulesconfig","imports":["from sagemaker.debugger import Rule, CollectionConfig, rule_configs"]}],"homepage":null,"github":"https://github.com/awslabs/sagemaker-debugger-rulesconfig","docs":null,"changelog":null,"pypi":"https://pypi.org/project/smdebug-rulesconfig/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/smdebug-rulesconfig/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Thu Jul 09","install_tag":"stale"}}