{"library":"sagemaker-mlops","type":"library","category":null,"description":"The `sagemaker-mlops` library provides modular, reusable components for building MLOps pipelines on Amazon SageMaker. It simplifies the orchestration of machine learning workflows, including model building, training, evaluation, and deployment. The current version is 1.7.1, and it receives regular updates in line with SageMaker SDK and AWS service evolution.","language":"python","status":"active","version":"1.7.1","tags":["aws","sagemaker","mlops","pipeline","workflow","machine learning"],"install":[{"cmd":"pip install sagemaker-mlops","imports":["from sagemaker import ModelBuild"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/sagemaker-mlops/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/sagemaker-mlops/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}