With the latest code in the current master, we're successfully training LOR using Spark ML's implementation with 14M sparse features. You need to tune the depth of aggregation to make it efficient.
Sincerely, DB Tsai ---------------------------------------------------------- Web: https://www.dbtsai.com PGP Key ID: 0x9DCC1DBD7FC7BBB2 On Wed, Oct 5, 2016 at 12:00 PM, Yang <teddyyyy...@gmail.com> wrote: > anybody had actual experience applying it to real problems of this scale? > > thanks > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
