Model Evaluation in MLflow

Many data scientists and ML engineers today use MLflow to manage their models. MLflow is an open-source platform that enables users to govern all aspects of the ML lifecycle, including but not limited to experimentation, reproducibility, deployment, and model registry. A critical step during the development of ML models is the evaluation of their performance... The post Model Evaluation in MLflow appeared first on Databricks....

Submit