LBFGS is better. If you data is easily separable, LR might return values very close or equal to either 0.0 or 1.0. It is rare but it may happen. -Xiangrui
On Tue, Oct 14, 2014 at 3:18 PM, Aris <arisofala...@gmail.com> wrote: > Wow...I just tried LogisticRegressionWithLBFGS, and using clearThreshold() > DOES IN FACT work. It appears the the LogsticRegressionWithSGD returns a > model whose method is broken!! > > On Tue, Oct 14, 2014 at 3:14 PM, Aris <arisofala...@gmail.com> wrote: >> >> Hi folks, >> >> When I am predicting Binary 1/0 responses with LogsticRegressionWithSGD, >> it returns a LogisticRegressionModel. In Spark 1.0.X I was using the >> clearThreshold method on the model to get the raw predicted probabilities >> when I ran the predict() method... >> >> It appears now that rather than getting a "realistic" probability that is >> between 0.0 and 1.0, I am only getting back predictions of 0.0 OR >> 1.0...never anything in between. >> >> The API says that clearThreshold is "experimental" ...it was working >> before! Is it broken now? >> >> Thanks! >> >> Aris > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
