No. Please create one but it won't be able to catch the v1.1 train. -Xiangrui
On Tue, Aug 19, 2014 at 4:22 PM, Chris Fregly <ch...@fregly.com> wrote: > this would be awesome. did a jira get created for this? I searched, but > didn't find one. > > thanks! > > -chris > > > On Tue, Jul 8, 2014 at 1:30 PM, Rahul Bhojwani <rahulbhojwani2...@gmail.com> > wrote: >> >> Thanks a lot Xiangrui. This will help. >> >> >> On Wed, Jul 9, 2014 at 1:34 AM, Xiangrui Meng <men...@gmail.com> wrote: >>> >>> Hi Rahul, >>> >>> We plan to add online model updates with Spark Streaming, perhaps in >>> v1.1, starting with linear methods. Please open a JIRA for Naive >>> Bayes. For Naive Bayes, we need to update the priors and conditional >>> probabilities, which means we should also remember the number of >>> observations for the updates. >>> >>> Best, >>> Xiangrui >>> >>> On Tue, Jul 8, 2014 at 7:35 AM, Rahul Bhojwani >>> <rahulbhojwani2...@gmail.com> wrote: >>> > Hi, >>> > >>> > I am using the MLlib Naive Bayes for a text classification problem. I >>> > have >>> > very less amount of training data. And then the data will be coming >>> > continuously and I need to classify it as either A or B. I am training >>> > the >>> > MLlib Naive Bayes model using the training data but next time when data >>> > comes, I want to predict its class and then incorporate that also in >>> > the >>> > model for next time prediction of new data(I think that is obvious). >>> > >>> > So I am not able to figure out what is the way to do that using MLlib >>> > Naive >>> > Bayes. Is it that I have to train the model on the whole data every >>> > time new >>> > data comes in?? >>> > >>> > Thanks in Advance! >>> > -- >>> > Rahul K Bhojwani >>> > 3rd Year B.Tech >>> > Computer Science and Engineering >>> > National Institute of Technology, Karnataka >> >> >> >> >> -- >> Rahul K Bhojwani >> 3rd Year B.Tech >> Computer Science and Engineering >> National Institute of Technology, Karnataka > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
