Hello Lucas, I am thinking of processing JSON or XML files with a hierarchy dynamic structure. Or building a pipeline to crop image with object detection metadata. Data preparation can be very messy, I wonder if we can have a stage to handle both batch and streaming processing well.
I simply think we don't need to focus on this part since we can utilize a wide variety of tools for our specific needs. Best Regards, Wei On Wed, Jul 29, 2020 at 8:48 PM Lucas Bonatto Miguel <lucasb...@apache.org> wrote: > Hi folks, > > In regards to the mission, you're correct. If I could summarize it, it > would be like: *to help its users to perform data exploration, model > development and application lifecycle management*. > > I'm all in for having a better integration with Kubernetes. I think that > the first step is to create a new thread in order to design something > following their operator pattern: > https://kubernetes.io/docs/concepts/extend-kubernetes/operator/ > > Wei, currently one already can perform merges and joins in the > transformation step. Could you comment a bit more on what you think we > could improve there? Maybe something for a new thread as well? > > Best! > Lucas > > On Wed, Jul 29, 2020 at 1:24 AM Wei Chen <weic...@apache.org> wrote: > > > I think deploying to K8S does expend our capabilities for inference > scaling > > and managing. > > I am not familiar with Luigi, but it makes sense since we are going to > > setup data pipelines. > > > > Best Regards, > > Wei > > > > On Wed, Jul 29, 2020 at 5:32 AM Lucas Cardoso Silva < > > cardosolucas61....@gmail.com> wrote: > > > > > Great Wei! I find the suggestions really interesting. I think we can > work > > > with the deployment on K8s. The idea of it in Marvin would be, after > > > development, the user would give some parameters and a script would > > > facilitate a deployment in a kubernetes cluster, right? Regarding data > > > acquisition, I think it would be great if we were able to integrate > some > > > third party library like Luigi. Thanks! > > > > > > > > > > > > Em qua., 22 de jul. de 2020 às 14:27, Wei Chen <weic...@apache.org> > > > escreveu: > > > > > > > Hello Lucas, > > > > > > > > I have some ideas: > > > > > > > > 1. Should we consider to use K8S or similar tools for inference > > container > > > > scaling and management? > > > > Marvin's current container management is not as powerful as some > > > container > > > > focus projects. > > > > K8S can also be deployed into most environments now. > > > > > > > > 2. Is our current data cleaning stage flexible enough for multiple > data > > > > sources with table join? > > > > Or if we should cut the data preparation stage out for the user to > make > > > > their own data pipeline on their data storage. > > > > I figured that preprocessing might be too complex to be generalized > for > > > > different ML projects. > > > > > > > > Best Regards > > > > Wei > > > > > > > > > > > > > > > > On Thu, Jul 23, 2020 at 12:26 AM Lucas Cardoso Silva < > > > > cardosolucas61....@gmail.com> wrote: > > > > > > > > > Hi guys. > > > > > I would like to know if anyone else has any ideas about this > > evaluation > > > > > phase. Both the opinion of those who have been in the community > for a > > > > long > > > > > time and those who are still getting to know Marvin is now > important > > > for > > > > > this step, so your suggestion or validation of the initial text is > > > always > > > > > welcome! > > > > > > > > > > Best regards, > > > > > Lucas Cardoso > > > > > > > > > > Em sex., 10 de jul. de 2020 às 13:48, Lucas Cardoso Silva < > > > > > cardosolucas61....@gmail.com> escreveu: > > > > > > > > > > > Hello guys. The time has come for us to take the first step in > > > > > > architectural assessment: the definition of the mission. > Basically > > we > > > > > have > > > > > > to decide here what is important in Marvin and what is outside > the > > > > scope > > > > > of > > > > > > the project. This is important because, during this analysis and > > the > > > > > > development process as a whole, we will be able to segment what > is > > > > really > > > > > > important and make things more simple and functional. Also, if it > > > looks > > > > > > cool, we can include that on the Marvin-AI homepage. > > > > > > > > > > > > As stated earlier, I will post an initial draft and would like to > > > > receive > > > > > > your feedback to complete a few points: > > > > > > > > > > > > The Apache Marvin-AI platform aims to offer: > > > > > > > > > > > > - > > > > > > > > > > > > a practical and standardized solution, > > > > > > - > > > > > > > > > > > > for the development and deployment of machine learning > > > applications. > > > > > > > > > > > > > > > > > > Aiming to offer the user: > > > > > > > > > > > > - > > > > > > > > > > > > scalability, > > > > > > - > > > > > > > > > > > > language agnosticism, > > > > > > - > > > > > > > > > > > > standardized pipeline (DASFE), > > > > > > - > > > > > > > > > > > > possibility of remote versioning of artifacts. > > > > > > > > > > > > > > > > > > Does anyone have any suggestions for more important features, > > > resources > > > > > or > > > > > > design decisions in Marvin? > > > > > > > > > > > > Thank you very much, > > > > > > > > > > > > Lucas Cardoso > > > > > > > > > > > > > > > > > > > > >
