{"library":"sagemaker-experiments","type":"library","category":null,"description":"sagemaker-experiments is an open-source Python library from AWS for experiment tracking within Amazon SageMaker jobs and notebooks. It allows users to create, manage, and query machine learning experiments, trials, and trial components to track model parameters, metrics, and artifacts. The library maintains an active release cadence, with frequent minor updates.","language":"python","status":"active","version":"0.1.45","tags":["aws","sagemaker","mlops","experiment-tracking","machine-learning"],"install":[{"cmd":"pip install sagemaker-experiments","imports":["from smexperiments import Experiment"]}],"homepage":"https://aws.amazon.com/sagemaker/","github":"https://github.com/aws/sagemaker-experiment-tracking","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sagemaker-experiments/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sagemaker-experiments/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}