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H2O + Modeltime (Forecasting) #5
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Hi Matt, Thanks for getting in touch! I would definitely welcome collaboration. Some background - I started Max Kuhn brought up the drawback of tuning within the
I’m not sure how this fits into your plans but I’d appreciate any discussion and thoughts! Steve |
Hey Steve, Thanks for getting back. Yeah, when I read this I immediately thought about the challenges of the H2O Frame vs Data Frame and the expensive data movement/transfer headaches that can result. I feel like simplification can help, and then tackling the tougher problems down the road might be a better approach, especially if we need support from Tidymodels (Max et al). Thoughts on H2O AutoML <- Start HereH2O AutoML is one of the greatest features. It creates many models, and reduces the need for manual tuning. This can be a big benefit because most of the data transfer is a result of Data Frame vs H2O Frame conversions causing data to move in and out of the cluster. My gut is telling me to start here. It's just so powerful and easy to use. Plus it removes the demands for tuning. Individual AlgorithmsIt looks like you have the heavy lifting done here. I'll take a deeper look to see if there's anything that I can add. TuningThis is where the data transfers will cause big expenses. You're right - rather than transfer data, possibly look to transfer the tuning parameters. This could be challenging but will limit the data transfers during tuning. |
Hi @stevenpawley ,
Nice looking package! I'm very interested in this. I wanted to see if I can help progress your development efforts.
Background
I wanted to reach out as the developer of
modeltime
(a forecasting ecosystem based ontidymodels
) and an educator at Business Science, where I'm forming a small team of students to help with software development efforts.Our next project is combining Modeltime (leverages tidymodels) with H2O. It appears that you have covered a lot of the heavy lifting in your
h2oparsnip
package.I wanted to see if there is an opportunity to collaborate. We are looking at making a smaller, focused package that uses the
h2o
automl algorithm as a forecasting tool.Next Steps
h2oparsnip
make its way onto CRAN. We can help with this.h2oparsnip
development process.The text was updated successfully, but these errors were encountered: