Gradient Boosted Machines

2014-07-14 Thread Daniel Bendavid
Hi,

My company is strongly considering implementing a recommendation engine that is 
built off of statistical models using Spark.  We attended the Spark Summit and 
were incredibly impressed with the technology and the entire community.  Since 
then, we have been exploring the technology and determining how we could use it 
for our specific needs.

One algorithm that we ideally want to use as part of our project is Gradient 
Boosted Machines.  We are aware that they have not yet been implemented in MLib 
and would like to submit our request that they be considered for future 
implementation.  Additionally, we would love to see the AdaBoost algorithm 
implemented in Mlib and Feature Preprocessing implemented in Python (as it 
already exists for Scala).

Otherwise, thank you for taking our feedback and for providing us with this 
incredible technology.

Daniel


Re: Gradient Boosted Machines

2014-08-05 Thread Manish Amde
Hi Daniel,

Thanks a lot for your interest. Gradient boosting and AdaBoost algorithms
are under active development and should be a part of release 1.2.

-Manish


On Mon, Jul 14, 2014 at 11:24 AM, Daniel Bendavid <
daniel.benda...@creditkarma.com> wrote:

>  Hi,
>
>  My company is strongly considering implementing a recommendation engine
> that is built off of statistical models using Spark.  We attended the Spark
> Summit and were incredibly impressed with the technology and the entire
> community.  Since then, we have been exploring the technology and
> determining how we could use it for our specific needs.
>
>  One algorithm that we ideally want to use as part of our project is
> Gradient Boosted Machines.  We are aware that they have not yet been
> implemented in MLib and would like to submit our request that they be
> considered for future implementation.  Additionally, we would love to see
> the AdaBoost algorithm implemented in Mlib and Feature Preprocessing
> implemented in Python (as it already exists for Scala).
>
>  Otherwise, thank you for taking our feedback and for providing us with
> this incredible technology.
>
>  Daniel
>