In this OpenShift Commons Briefing, DataBricks‘ Mani Parkhe gave an excellant introduction to MLFlow, an open source platform to manage the Machine Learning lifecycle, including experimentation, reproducibility and deployment. MLFlow currently has three components: MLflow Tracking – Record and query experiments: code, data, config, and results. MLflow Projects -Packaging format for reproducible runs on […]
The post OpenShift Commons Briefing: Introduction to MLFlow on OpenShift – Mani Parkhe (Databricks) and Zak Hassan (Red Hat) appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift
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