kubeflow

Kubeflow tl; dr; A combinator governance component that provides Kubeflow, a pipelining tool, Jupyter host, and hyperparameter tuner. - Introduction - Test Drive - Usage Introduction Kubeflow is an open-source MLOps platform that combines Jupyter hosting, ML pipelining, and hyperparameter tuning. It is packaged into a single UI to help data scientists train their ML models. Kubeflow Pipelines (KFP) in particular, has emerged as one eminent ML pipelinging technology, mainly thanks to the managed hosting in various clouds. Its opinionated ML-specific API helps data scientists and ML engineers develop robust, repeatable pipelines. Kubeflow Version This installation uses Kubeflow version 1.2, which is now out of date. Status and Recommendations :warning: For Testing Only :warning: This install