I am trying to classify mails On Tue, Feb 5, 2013 at 12:10 AM, Jake Mannix <jake.man...@gmail.com> wrote: > On Mon, Feb 4, 2013 at 12:53 AM, VIGNESH S <vigneshkln...@gmail.com> wrote: > >> Hi Jake, >> >> Thanks for your comments.. >> >> What is understood from your comment is Incase of Training,we can use >> hadoop in clusters to generate the trained model blob file.. >> > > Using a classifier has two steps: training the classifier (on data which > has already been pre-labeled), and using the trained classifier on > previously unlabeled items to predict the label which that item should > have. > > Some Mahout algorithms can be trained on a Hadoop cluster, but in general > are intended to be trained using large quantities of input data. The > resultant serialized classifier file may be small, and this is what is used > in the second step, and could conceivably fit on a mobile device. > > >> We can use that trained model blob file in mobile device for >> classification.. >> >> is it possible to generate trained model blob file for all algorithms? >> > > Not all algorithms even have simple single model files, no. > > What exactly are you trying to do on a mobile device? > > >> >> >> >> >> On Sat, Feb 2, 2013 at 1:53 AM, Jake Mannix <jake.man...@gmail.com> wrote: >> > On Fri, Feb 1, 2013 at 7:19 AM, Chris Harrington <ch...@heystaks.com> >> wrote: >> > >> >> Kind of off topic but why Mahout and not Weka and why on a mobile >> device. >> >> >> >> Mahout is built to be scalable for large datasets, not something you'd >> >> associate with a mobile device. >> > >> > >> > Mahout scalability is about the *training set*. For example, you run a >> > webmail service, you have tons and tons of spam and not-spam emails. You >> > use Mahout to train a classifier on Hadoop using this training data, at >> the >> > end of the day, you spit out a sparse classifier model file, which could >> > reasonably be a *very small* blob, under 100-1000KB. >> > >> > >> >> On any mobile device you're going to run into memory issues very quickly >> >> with any sizable dataset. Even the Galaxy s3 only has max 256mb heap >> >> allowed (i think). >> >> >> >> Personally I wouldn't even attempt such a thing, I'd off load the heavy >> >> lifting to a server and simply have the client mobile device request >> >> whatever it needed. >> >> >> >> >> >> On 1 Feb 2013, at 14:55, Jake Mannix wrote: >> >> >> >> > Hi Vignesh, >> >> > >> >> > You've got a lot of steps to go through before you can start talking >> >> > about putting it on your mobile device: you need to get your training >> >> > data, train your classifier offline using Mahout, write code in your >> >> mobile >> >> > app which links to and uses the classifier package in Mahout that will >> >> > understand how to use the serialized classifier data file, then make >> sure >> >> > your classifier data file is either bundled with your mobile app, or >> else >> >> > downloads it when it needs it. >> >> > >> >> > So first, you need to train a classifier (check out Mahout In Action >> for >> >> > more detailed instructions on this), it will result in a serialized >> >> > classifier model on disk at the end of this process. >> >> > >> >> > >> >> > On Thu, Jan 31, 2013 at 10:23 PM, VIGNESH S <vigneshkln...@gmail.com> >> >> wrote: >> >> > >> >> >> Hi , >> >> >> >> >> >> Thanks for the reply.. >> >> >> >> >> >> How can we make use of the training data done using Hadoop in mobile >> >> >> phones.. >> >> >> >> >> >> For Example,i can do some sort of serialization and store it on disk >> >> >> and deserialize in mobile and use that data.. >> >> >> >> >> >> is that possible or how can i use the training data without >> connecting >> >> >> to a hadoop cluster in real time.. >> >> >> >> >> >> >> >> >> >> >> >> Thanks and Regards >> >> >> Vignesh Srinivasan >> >> >> >> >> >> >> >> >> On Thu, Jan 31, 2013 at 7:43 AM, Jake Mannix <jake.man...@gmail.com> >> >> >> wrote: >> >> >>> The *training* of many Mahout algorithms are on Hadoop, but the >> output >> >> >>> classifiers (e.g. a binary text classifier [trained with L1 >> >> >> regularization >> >> >>> to sparsify] for spam filtering) could certainly fit on a small >> >> footprint >> >> >>> like a mobile phone. >> >> >>> >> >> >>> >> >> >>> On Wed, Jan 30, 2013 at 7:46 AM, Mahesh Balija >> >> >>> <balijamahesh....@gmail.com>wrote: >> >> >>> >> >> >>>> AFAIK it is NOT possible. As Mahout runs on top of Hadoop. >> >> >>>> Also Hadoop is a distributed computing framework, it will run on >> >> >> cluster of >> >> >>>> machines. >> >> >>>> So ideally it may NOT be possible to run on a Mobile. >> >> >>>> >> >> >>>> On Wed, Jan 30, 2013 at 8:46 PM, VIGNESH S < >> vigneshkln...@gmail.com> >> >> >>>> wrote: >> >> >>>> >> >> >>>>> I am trying to implement some classification in android mobile >> >> >> device.. >> >> >>>>> >> >> >>>>> is it possible to use mahout in mobile device..Please kindly help >> me >> >> >>>>> >> >> >>>>> -- >> >> >>>>> Thanks and Regards >> >> >>>>> Vignesh Srinivasan >> >> >>>>> 9739135640 >> >> >>>>> >> >> >>>> >> >> >>> >> >> >>> >> >> >>> >> >> >>> -- >> >> >>> >> >> >>> -jake >> >> >> >> >> >> >> >> >> >> >> >> -- >> >> >> Thanks and Regards >> >> >> Vignesh Srinivasan >> >> >> 9739135640 >> >> >> >> >> > >> >> > >> >> > >> >> > -- >> >> > >> >> > -jake >> >> >> >> >> > >> > >> > -- >> > >> > -jake >> >> >> >> -- >> Thanks and Regards >> Vignesh Srinivasan >> 9739135640 >> > > > > -- > > -jake
-- Thanks and Regards Vignesh Srinivasan 9739135640
