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From DB Tsai <>
Subject Re: Spark LIBLINEAR
Date Sun, 11 May 2014 10:01:44 GMT
Dear Prof. Lin,

Interesting! We had an implementation of L-BFGS in Spark and already merged
in the upstream now.

We read your paper comparing TRON and OWL-QN for logistic regression with
L1 (, but it seems that
it's not in the distributed setup.

Will be very interesting to know the L2 logistic regression benchmark
result in Spark with your TRON optimizer and the L-BFGS optimizer against
different datasets (sparse, dense, and wide, etc).

I'll try your TRON out soon.


DB Tsai
My Blog:

On Sun, May 11, 2014 at 1:49 AM, Chieh-Yen <>wrote:

> Dear all,
> Recently we released a distributed extension of LIBLINEAR at
> Currently, TRON for logistic regression and L2-loss SVM is supported.
> We provided both MPI and Spark implementations.
> This is very preliminary so your comments are very welcome.
> Thanks,
> Chieh-Yen

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