yeah, column normalizarion. for some of the datasets, without doing
this, it will not be converged.

Sincerely,

DB Tsai
-------------------------------------------------------
My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai


On Fri, Oct 24, 2014 at 3:46 PM, Debasish Das <debasish.da...@gmail.com> wrote:
> You mean row/column normalization of data ? how much performance gain you
> saw using that ?
>
>
> On Fri, Oct 24, 2014 at 3:14 PM, DB Tsai <dbt...@dbtsai.com> wrote:
>>
>> oh, we just train the model in the standardized space which will help
>> the convergence of LBFGS. Then we convert the weights to original
>> space so the whole thing is transparent to users.
>>
>> Sincerely,
>>
>> DB Tsai
>> -------------------------------------------------------
>> My Blog: https://www.dbtsai.com
>> LinkedIn: https://www.linkedin.com/in/dbtsai
>>
>>
>> On Fri, Oct 24, 2014 at 3:13 PM, Debasish Das <debasish.da...@gmail.com>
>> wrote:
>> > @dbtsai for condition number what did you use ? Diagonal preconditioning
>> > of
>> > the inverse of B matrix ? But then B matrix keeps on changing...did u
>> > condition it after every few iterations ?
>> >
>> > Will it be possible to put that code in Breeze since it will be very
>> > useful
>> > to condition other solvers as well...
>> >
>> > On Fri, Oct 24, 2014 at 3:02 PM, DB Tsai <dbt...@dbtsai.com> wrote:
>> >>
>> >> We don't have SVMWithLBFGS, but you can check out how we implement
>> >> LogisticRegressionWithLBFGS, and we also deal with some condition
>> >> number improving stuff in LogisticRegressionWithLBFGS which improves
>> >> the performance dramatically.
>> >>
>> >> Sincerely,
>> >>
>> >> DB Tsai
>> >> -------------------------------------------------------
>> >> My Blog: https://www.dbtsai.com
>> >> LinkedIn: https://www.linkedin.com/in/dbtsai
>> >>
>> >>
>> >> On Fri, Oct 24, 2014 at 2:39 PM, k.tham <kevins...@gmail.com> wrote:
>> >> > Oh, I've only seen SVMWithSGD, hadn't realized LBFGS was implemented.
>> >> > I'll
>> >> > try it out when I have time. Thanks!
>> >> >
>> >> >
>> >> >
>> >> > --
>> >> > View this message in context:
>> >> >
>> >> > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-LIBLINEAR-tp5546p17240.html
>> >> > Sent from the Apache Spark User List mailing list archive at
>> >> > Nabble.com.
>> >> >
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