+1 Em sáb., 15 de ago. de 2020 às 08:57, Lucas Bonatto Miguel < lucasb...@apache.org> escreveu:
> It's good, the only thing I would change would be to mention what sort of > applications. Although we have AI in the name, one may mistakenly think > Marvin is intended to serve any type of application. > > Best > > On Fri, Aug 14, 2020 at 11:37 AM Lucas Cardoso Silva < > cardosolucas61....@gmail.com> wrote: > > > Hi guys, > > > > Here comes the summarized Marvin mission: > > > > The Apache Marvin-AI platform aims to offer a practical and standardized > > solution to help its users to perform data exploration, model development > > and application lifecycle management, aiming to offer: scalability, > > language agnosticism and a standardized pipeline. > > > > Thanks for the help, > > Lucas Cardoso > > > > Em qua., 29 de jul. de 2020 às 17:05, Lucas Cardoso Silva < > > cardosolucas61....@gmail.com> escreveu: > > > > > Hi guys! > > > Great Lucas, I will wait a couple of days to see if anyone has other > > > things to add, and then we can close this phase! > > > > > > Wei, we can discuss how to make the data pipelines easier to the users > in > > > another step of the evaluation. With the experience of the users and > > > developers with this topic we can track their needs better and make > > > use-case scenarios. I agree with you that data preparation is messy and > > can > > > take a lot of time and will be great if Marvin could help in that. > > > > > > Best regards, > > > Lucas > > > > > > > > > Em qua., 29 de jul. de 2020 às 11:59, Wei Chen <weic...@apache.org> > > > escreveu: > > > > > >> 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 > > >> > > > > > > > > >> > > > > > > > >> > > > > > > >> > > > > > >> > > > > >> > > > >> > > > > > >
