+1 from my side :)
> On 13. Apr 2022, at 14:54, Bertty Contreras <[email protected]> wrote:
>
> Hi folks,
>
> These days are the deadline (19 of April) for the Google Summer of
> Code(GSoC)[1], and we want to apply two ideas that the students could
> implement inside of Apache Wayang (Incubating). It will help them to learn
> the internals of Wayang and also learn about the cost model; the ideas are:
>
> - the first is the paper [Expand your Training Limits! Generating Training
> Data for ML-based Data Management](
> https://www.agora-ecosystem.com/publications_pdf/expand_training_limits.pdf)
> where the authors try to generate data for training an ml that will provide
> the cost model; this tries to help with the generation of data to train the
> cost model of the current model, and this will help to more people tuning
> them model.
>
> - the second idea comes from [Zero-Shot Cost Models for Out-of-the-box
> Learned Cost Prediction](https://arxiv.org/pdf/2201.00561.pdf), where the
> idea is to create a model pre-trained, but it learns during the new queries
> are coming, this could help people that can wait for having a training
> model and also help to build a model that not need to be calibrated.
>
> If you have another idea, also we can add it :D, the deadline
>
> Best regards,
> Bertty
>
> [1] https://summerofcode.withgoogle.com
