LDA in MLBase

Hi All, I have a question regarding LDA topic modeling. I need to do topic modeling on ad data. Does MLBase supports LDA topic modeling? Or any stable, tested LDA implementation on Spark? BR, Aslan

Re: Normalizations in MLBase

> DB Tsai > --- > My Blog: https://www.dbtsai.com > LinkedIn: https://www.linkedin.com/in/dbtsai > > > On Thu, Jun 12, 2014 at 1:49 AM, Aslan Bekirov > wrote: > > Hi DB, > > > > I found a piece of code that

Re: Normalizations in MLBase

e make your comments if you find something wrong. BR, Aslan On Thu, Jun 12, 2014 at 11:13 AM, Aslan Bekirov wrote: > Thanks a lot DB. > > I will try to do Znorm normalization using map transformation. > > > BR, > Aslan > > > On Thu, Jun 12, 2014 at 12:

Re: Normalizations in MLBase

//www.linkedin.com/in/dbtsai > > > On Wed, Jun 11, 2014 at 6:25 AM, Aslan Bekirov > wrote: > > Hi All, > > > > I have to normalize a set of values in the range 0-500 to the [0-1] > range. > > > > Is there any util method in MLBase to normalize large set of data? > > > > BR, > > Aslan >

Normalizations in MLBase

Hi All, I have to normalize a set of values in the range 0-500 to the [0-1] range. Is there any util method in MLBase to normalize large set of data? BR, Aslan

Re: Gradient Descent with MLBase

mllib/optimization/GradientDescentSuite.scala > > > Sincerely, > > DB Tsai > --- > My Blog: https://www.dbtsai.com > LinkedIn: https://www.linkedin.com/in/dbtsai > > > On Sat, Jun 7, 2014 at 6:24 AM, Aslan Bekirov > wr

Gradient Descent with MLBase

Hi All, I have to create a model using SGD in mlbase. I examined a bit mlbase and run some samples of classification , collaborative filtering etc.. But I could not run Gradient descent. I have to run "val model = GradientDescent.runMiniBatchSGD(params)" of course before params must be compute