Alexey, I'm wondering, Are there any dependencies on Ignite Core that make us put off the ML changes release until 2.8? I know that you do not support the idea of ML as a separate Ignite module but this concept would allow us to release ML as frequently as we want not being blocked by Ignite core releases.
- Denis On Fri, Sep 13, 2019 at 11:45 AM Alexey Zinoviev <zaleslaw....@gmail.com> wrote: > I could answer as one of developers of ML module. > Currently is available the ML in version 2.7.5, it supports a lot of > algorithms and could be used in production, but the API is not stable and > will be changed in 2.8 > > The ML module will be stable since next release 2.8, also we have no > performance report to compare for example with Spark ML > Based on my exploration the performance of in terms of Big O notation is > the same like in Spark ML (real numbers says that Ignite ML is more faster > than Spark ML due to Ignite in-memory nature and so on) > > Since 2.8 it will have good integration with TensorFlow, Spark ML, XGBoost > via model inference. > > You as a user have no ability to run, for-example scikit-learn or R > packages in distributed mode over Ignite, but you could run the TensorFlow, > using Ignite as a distributed back-end instead of Horovod. > > If you have any questions, please let me know > > > > пт, 13 сент. 2019 г. в 21:28, Denis Magda <dma...@apache.org>: > >> David, >> >> Let me loop in Ignite dev list that has Ignite ML experts subscribed. >> Please, could you share more details in regards to your performance >> testing >> and objectives for Ignite ML overall? >> >> The module is ready for production and we're ready to help solve any >> cornerstones. >> >> - >> Denis >> >> >> On Fri, Sep 6, 2019 at 4:50 AM David Williams <leeon2...@gmail.com> >> wrote: >> >> > Python is 25 times slower than Java for ML at runtimes, which I found >> out >> > online. But I don't know that statement is true or not. I need insiders' >> > opinion. Which ml other packages are best options for Ignite? >> > >> > On Fri, Sep 6, 2019 at 7:28 PM Mikael <mikael-arons...@telia.com> >> wrote: >> > >> >> Hi! >> >> >> >> I have never used it myself but it's been there for long time and I >> >> would expect it to be stable, and yes it will run distributed, I can't >> >> say anything about performance as I have never used it. >> >> >> >> You will find a lot of more information at: >> >> >> >> https://apacheignite.readme.io/docs/machine-learning >> >> >> >> Mikael >> >> >> >> >> >> Den 2019-09-06 kl. 11:50, skrev David Williams: >> >> > >> >> > >> >> > I am evaluating ML framework for Java platform. I knew Ignite has ML >> >> > package. >> >> > But I like to know its stability and performance for production. Can >> >> > Ignite >> >> > ML code run in distribute way? >> >> > >> >> > Except its own ML package, which ml packages are best options for >> >> Ignite? >> >> >> > >> >
