ChiSqSelector calls an RDD of labeled points, where the label is the target. See https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala#L120
On Wed, Jun 17, 2015 at 10:22 PM, Ruslan Dautkhanov <dautkha...@gmail.com> wrote: > Thank you Xiangrui. > > Oracle's attribute importance mining function have a target variable. > "Attribute importance is a supervised function that ranks attributes > according to their significance in predicting a target." > MLlib's ChiSqSelector does not have a target variable. > > > > > -- > Ruslan Dautkhanov > > On Wed, Jun 17, 2015 at 5:50 PM, Xiangrui Meng <men...@gmail.com> wrote: >> >> We don't have it in MLlib. The closest would be the ChiSqSelector, >> which works for categorical data. -Xiangrui >> >> On Thu, Jun 11, 2015 at 4:33 PM, Ruslan Dautkhanov <dautkha...@gmail.com> >> wrote: >> > What would be closest equivalent in MLLib to Oracle Data Miner's >> > Attribute >> > Importance mining function? >> > >> > >> > http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/feature_extr.htm#i1005920 >> > >> > Attribute importance is a supervised function that ranks attributes >> > according to their significance in predicting a target. >> > >> > >> > Best regards, >> > Ruslan Dautkhanov > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
