Sound good! and thanks Jieguang brings this up. DolphinScheduler focuses on task scheduling and workflow orchestration, I think machine learning is also another kind of orchestration, and most of the machine learning source data or training samples are from data warehouses or data lakes, which we already supported in the current version. If we DolphinScheduler could support machine learning tasks then users could finish their jobs in one single tool instead of separately.
On Mon, Apr 25, 2022 at 2:39 PM 周哈哈 <[email protected]> wrote: > > Hi, community > > I have seen a Machine Learning Platform post on Medium. The post talk about > Lizhi Machine Learning Platform&Apache DolphinScheduler. > https://medium.com/@DolphinScheduler/a-formidable-combination-of-lizhi-machine-learning-platform-dolphinscheduler-creates-new-paradigm-e445938f1af > > <https://medium.com/@DolphinScheduler/a-formidable-combination-of-lizhi-machine-learning-platform-dolphinscheduler-creates-new-paradigm-e445938f1af> > > > I want to use the dolphinscheduler to orchestrate some popular open-source > projects about MLops, such as MLflow, Kubeflow, BentoML, Seldon Core, > ClearML, TonY, etc. I think that can help users to build their custom MLops > systems easier. > > For example, users can choose what deployment tools they like, or what > training tools they like. > > Is somebody interested in the AI task about DS? > > I created an issue about the above: > https://github.com/apache/dolphinscheduler/issues/9725 > <https://github.com/apache/dolphinscheduler/issues/9725> > > > Anyone who is interested is welcome to join us. > > > Best Wish > — Jieguang -- Best Wish — Jiajie
