Yes, you are correct чт, 31 окт. 2019 г., 20:29 Denis Magda <dma...@apache.org>:
> Basically it means a model trained with H2O can be transformed to Ignite’s > one and executed in our cluster? Sorry if I’m still missing something. > > Denis > > On Thursday, October 31, 2019, Alexey Zinoviev <zaleslaw....@gmail.com> > wrote: > > > Thanks, Denis, no, the initial H2O integration is not the same as > > TensorFlow integration, it perform the prediction phase (than you have > > trained model) nor training as I mentioned "As a result we could predict > > something on Ignite data via the model trained in H2O system." > > > > It's the same as XGBost and Spark ML integration, but I hope that we > could > > extend our integration here and provide something like Ignite data-source > > for training in H2O in the future. > > > > чт, 31 окт. 2019 г. в 16:48, Denis Magda <dma...@apache.org>: > > > > > 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 > > > > > > > > -- > - > Denis >
