Thanks a lot Patrick, this was helpful... Regards Sundeep
On Sat, Jan 20, 2018 at 1:35 AM, Patrick McCarthy <pmccar...@dstillery.com> wrote: > Rather than use a fancy purpose-built class, I was thinking that you could > rather generate a series of label vectors, vector A is 1 when class a is > positive and 0 when any other is, vector B is 1 when class b is positive > and 0 when any other is, etc. > > I don't know anything about streaming in particular so I don't know if > this introduces any lag or concurrency problems, but you could perform the > logistic regression on each of these label vectors independently using the > classifier algorithm of your choice and then, concatenating the predictions > into a dataframe, take a rowmax to do your multiclass evaluation. > > On Fri, Jan 19, 2018 at 11:29 AM, Sundeep Kumar Mehta < > sunnyjai...@gmail.com> wrote: > >> Thanks a lot Patrick, I do see a class OneVsRest classifier which only >> takes classifier instance of ml package and not mlib package, do you see >> any alternative for using OneVsRest with StreamingLogisticRegressionWithSGD >> ? >> >> Regards >> Sundeep >> >> On Thu, Jan 18, 2018 at 8:18 PM, Patrick McCarthy < >> pmccar...@dstillery.com> wrote: >> >>> As a hack, you could perform a number of 1 vs. all classifiers and then >>> post-hoc select among the highest prediction probability to assign class. >>> >>> On Thu, Jan 18, 2018 at 12:17 AM, Sundeep Kumar Mehta < >>> sunnyjai...@gmail.com> wrote: >>> >>>> Hi, >>>> >>>> I was looking for Logistic Regression with Multi Class classifier on >>>> Streaming data do we have any alternative options or library/github prj. >>>> >>>> As StreamingLogisticRegressionWithSGD only supports binary >>>> classification >>>> >>>> Regards >>>> Sundeep >>>> >>> >>> >> >
