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/ >
