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 >
