Hi all, Ticket 10700 [1] is resolved, this ticked added support of training models over a cache with binary objects(cache with enabled keepBinary flag) for more details please take a look the mentioned ticked or added example [2].
[1] - https://issues.apache.org/jira/browse/IGNITE-10700 [2] - org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample Sincerely, Best regards, Yuriy Babak чт, 10 янв. 2019 г. в 14:07, Alexey Zinoviev <zaleslaw....@gmail.com>: > Thanks a lot for the example. Will write later about keepBinary support in > this thread. > > чт, 10 янв. 2019 г. в 13:28, otorreno <oscar.torr...@shapelets.io>: > > > Alexey, thanks for your support. > > > > Answer to your questions: > > 1) At the moment the types are: String, Long and Double. But this could > > actually change in the future to any other user-defined types/classes (We > > know we would need to provide data encoders for such types) > > 2) Yes, all data series have the same schema (same number of columns and > > same types) > > 3) all_sites.csv > > < > > > http://apache-ignite-developers.2346864.n4.nabble.com/file/t659/all_sites.csv > > > > > > contains an example of what data we are trying to work with. Each of the > > rows of such file contains the metadata of a given data series, as I > > described in my first post of this thread. > > > > Remember that we have such table stored in a cache which uses the > > withKeepBinary method. And the problem I faced was not being able to use > > such cache as input to the ML algos (a copy of such cache to a cache > > without > > the keepBinary property would work, but that is not the solution we want > to > > apply). What I would like to do is add support to caches with keepBinary > to > > Ignite ML. > > > > Best, > > Oscar > > > > > > > > -- > > Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/ > > >
