Hi Alexey, That’s great to see that our ML and DL capabilities keep growing via integrations!
Is it correct to say that H2O uses Ignite as a data source in a way similar to what we did for TensorFlow? Btw, do you have any plans to spread the word about the additions through blogging? H2O, Spark ML, XGBoost deserve their own articles. Denis On Thursday, October 31, 2019, Alexey Zinoviev <zaleslaw....@gmail.com> wrote: > Hi, Igniters, > I happy to announce the new part of Ignite ML functionality. > > The integration with the popular distributed library H2O > https://github.com/h2oai was added. > As a result we could predict something on Ignite data via the model trained > in H2O system. > > Many thanks to Michal Kurka (https://github.com/michalkurka), waiting him > on our dev-list, hope that he will help with the backward integration from > Ignite to H2O system. > > Remind, that now we have integrations with XGBoost, TensorFlow, Spark ML > via SparkMlParser and MLeap integration and waiting for the new > integrations with Dl4j or PyTorch for example > > Sincerely yours, > Alexey Zinoviev > -- - Denis
