Hi,

When you say decision trees, you mean decision forest right? Is it possible
to expect decision tree algorithm (C 4.5) to be in mahout, since the
algorithm is pretty sequential in nature and won't be suitable for
distributed processing.
Regards
Gaurav

On Tue, Feb 7, 2012 at 2:49 AM, Shannon Quinn <[EMAIL PROTECTED]> wrote:

> Apache Mahout has reached version 0.6. All developers are encouraged to
> begin using version 0.6, as much has changed and will continue to do so as
> we march inexorably toward a 1.0 release. Highlights of 0.6 include:
>
> -Improved Decision Tree performance and added support for regression
> problems
> -New LDA implementation using Collapsed Variational Bayes 0th Derivative
> Approximation
> -Reduced runtime of LanczosSolver tests
> -K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with Restarts
> implementation
> -Reduced runtime of dot product between vectors
> -Added MongoDB and Cassandra DataModel support
> -Increased efficiency of parallel ALS matrix factorization
> -SSVD enhancements
> -Performance improvements in RowSimilarityJob, TransposeJob
> -Added numerous clustering display examples
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.6 are detailed in the release notes (
> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364><
> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364>
> >).
>
> Downloads of all releases available from Apache mirrors. (
> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/><
> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/>
> >)
>
> Enjoy!
>
> Regards,
> Shannon
>

--
regards
Gaurav Singh

+1 Congratulations to Shannon for a job well done. We now have a 0.6
release and can begin to concentrate on the plan and issues for a 0.7
release.

On 2/6/12 2:19 PM, Shannon Quinn wrote:
> Apache Mahout has reached version 0.6. All developers are encouraged
> to begin using version 0.6, as much has changed and will continue to
> do so as we march inexorably toward a 1.0 release. Highlights of 0.6
> include:
>
> -Improved Decision Tree performance and added support for regression
> problems
> -New LDA implementation using Collapsed Variational Bayes 0th
> Derivative Approximation
> -Reduced runtime of LanczosSolver tests
> -K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with
> Restarts implementation
> -Reduced runtime of dot product between vectors
> -Added MongoDB and Cassandra DataModel support
> -Increased efficiency of parallel ALS matrix factorization
> -SSVD enhancements
> -Performance improvements in RowSimilarityJob, TransposeJob
> -Added numerous clustering display examples
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.6 are detailed in the release notes (
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364
> <https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364>).
>
>
> Downloads of all releases available from Apache mirrors. (
> http://www.apache.org/dyn/closer.cgi/mahout/
> <http://www.apache.org/dyn/closer.cgi/mahout/>)
>
> Enjoy!
>
> Regards,
> Shannon
>

Thank you for the wonderful work!

Does the new release support built-in MapReduce for the User-based
Recommenders?

Thanks very much!

-Ahmed

On Mon, Feb 6, 2012 at 4:19 PM, Shannon Quinn <[EMAIL PROTECTED]> wrote:

> Apache Mahout has reached version 0.6. All developers are encouraged to
> begin using version 0.6, as much has changed and will continue to do so as
> we march inexorably toward a 1.0 release. Highlights of 0.6 include:
>
> -Improved Decision Tree performance and added support for regression
> problems
> -New LDA implementation using Collapsed Variational Bayes 0th Derivative
> Approximation
> -Reduced runtime of LanczosSolver tests
> -K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with Restarts
> implementation
> -Reduced runtime of dot product between vectors
> -Added MongoDB and Cassandra DataModel support
> -Increased efficiency of parallel ALS matrix factorization
> -SSVD enhancements
> -Performance improvements in RowSimilarityJob, TransposeJob
> -Added numerous clustering display examples
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.6 are detailed in the release notes (
> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364><
> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364>
> >).
>
> Downloads of all releases available from Apache mirrors. (
> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/><
> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/>
> >)
>
> Enjoy!
>
> Regards,
> Shannon
>

No user-based approach there, no.

On Fri, Feb 10, 2012 at 5:00 PM, Ahmed Abdeen Hamed
<[EMAIL PROTECTED]> wrote:
> Thank you for the wonderful work!
>
> Does the new release support built-in MapReduce for the User-based
> Recommenders?

On 7 February 2012 14:04, Jeff Eastman <[EMAIL PROTECTED]> wrote:
> +1 Congratulations to Shannon for a job well done. We now have a 0.6 release
> and can begin to concentrate on the plan and issues for a 0.7 release.

Yes, congrats to all concerned, really great seeing this moving along :)

Meanwhile, the homepage still says "Latest release version: Mahout
0.5; Latest development version: Mahout 0.6-SNAPSHOT" ... is an update
pending?

Dan

Hi,

For mahout's decision forest logic, each machine node makes trees
sequentially as you think.
But we can get trees for a forest parallelly.

Regards,

2012/2/7 gaurav singh <[EMAIL PROTECTED]>:
> Hi,
>
> When you say decision trees, you mean decision forest right? Is it possible
> to expect decision tree algorithm (C 4.5) to be in mahout, since the
> algorithm is pretty sequential in nature and won't be suitable for
> distributed processing.
>
>
> Regards
> Gaurav
>
> On Tue, Feb 7, 2012 at 2:49 AM, Shannon Quinn <[EMAIL PROTECTED]> wrote:
>
>> Apache Mahout has reached version 0.6. All developers are encouraged to
>> begin using version 0.6, as much has changed and will continue to do so as
>> we march inexorably toward a 1.0 release. Highlights of 0.6 include:
>>
>> -Improved Decision Tree performance and added support for regression
>> problems
>> -New LDA implementation using Collapsed Variational Bayes 0th Derivative
>> Approximation
>> -Reduced runtime of LanczosSolver tests
>> -K-Trusses, Top-Down and Bottom-Up clustering, Random Walk with Restarts
>> implementation
>> -Reduced runtime of dot product between vectors
>> -Added MongoDB and Cassandra DataModel support
>> -Increased efficiency of parallel ALS matrix factorization
>> -SSVD enhancements
>> -Performance improvements in RowSimilarityJob, TransposeJob
>> -Added numerous clustering display examples
>> -Many bug fixes, refactorings, and other small improvements
>>
>> Changes in 0.6 are detailed in the release notes (
>> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
>> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364><
>> https://issues.apache.org/**jira/secure/ReleaseNote.jspa?**
>> projectId=12310751&version=**12316364<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12316364>
>> >).
>>
>> Downloads of all releases available from Apache mirrors. (
>> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/><
>> http://www.apache.org/dyn/**closer.cgi/mahout/<http://www.apache.org/dyn/closer.cgi/mahout/>
>> >)
>>
>> Enjoy!
>>
>> Regards,
>> Shannon
>>
>
>
>
> --
> regards
> Gaurav Singh

--
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IKumasa Mukai at Recruit Co.,Ltd.