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Posted to dev@mahout.apache.org by Paritosh Ranjan <pr...@xebia.com> on 2012/06/16 12:44:29 UTC
Apache Mahout 0.7 Released
Apache Mahout has reached version 0.7. All developers are encouraged to begin using version 0.7. Highlights include:
-Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet Clustering
-New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet using Cluster Classifiers
-Collections and Math api consolidated
-(Complementary) Naive Bayes refactored and cleaned
-Watchmaker and Old Naive Bayes dropped.
-Many bug fixes, refactorings, and other small improvements
Changes in 0.7 are detailed in the release notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>.
Downloads of all releases available from Apache mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>.
Enjoy!
Regards,
Paritosh
RE: Apache Mahout 0.7 Released
Posted by Paritosh Ranjan <pr...@xebia.com>.
I will change the version and add these two steps on "How To Release" page.
Thanks.
________________________________________
From: Dan Brickley [danbri@danbri.org]
Sent: Monday, June 18, 2012 3:08 PM
To: dev@mahout.apache.org
Subject: Re: Apache Mahout 0.7 Released
On 16 June 2012 12:44, Paritosh Ranjan <pr...@xebia.com> wrote:
> Apache Mahout has reached version 0.7. All developers are encouraged to begin using version 0.7. Highlights include:
>
> -Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet Clustering
> -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet using Cluster Classifiers
> -Collections and Math api consolidated
> -(Complementary) Naive Bayes refactored and cleaned
> -Watchmaker and Old Naive Bayes dropped.
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.7 are detailed in the release notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>.
> Downloads of all releases available from Apache mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>.
Nice work :)
I just went to download it earlier from Mahout's homepage - and notice
that http://mahout.apache.org/ says 'latest release: 0.6' etc.
Maybe https://cwiki.apache.org/MAHOUT/how-to-release.html should
mention that explicitly?
I've just updated Wikipedia,
http://en.wikipedia.org/wiki/Apache_Mahout for 0.7 too. Also probably
worth adding to the routine...
cheers,
Dan
Re: Apache Mahout 0.7 Released
Posted by Dan Brickley <da...@danbri.org>.
On 16 June 2012 12:44, Paritosh Ranjan <pr...@xebia.com> wrote:
> Apache Mahout has reached version 0.7. All developers are encouraged to begin using version 0.7. Highlights include:
>
> -Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet Clustering
> -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet using Cluster Classifiers
> -Collections and Math api consolidated
> -(Complementary) Naive Bayes refactored and cleaned
> -Watchmaker and Old Naive Bayes dropped.
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.7 are detailed in the release notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>.
> Downloads of all releases available from Apache mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>.
Nice work :)
I just went to download it earlier from Mahout's homepage - and notice
that http://mahout.apache.org/ says 'latest release: 0.6' etc.
Maybe https://cwiki.apache.org/MAHOUT/how-to-release.html should
mention that explicitly?
I've just updated Wikipedia,
http://en.wikipedia.org/wiki/Apache_Mahout for 0.7 too. Also probably
worth adding to the routine...
cheers,
Dan
Re: Apache Mahout 0.7 Released
Posted by Ted Dunning <te...@gmail.com>.
Congrats Paritosh!
On Sat, Jun 16, 2012 at 3:44 AM, Paritosh Ranjan <pr...@xebia.com> wrote:
> Apache Mahout has reached version 0.7. All developers are encouraged to
> begin using version 0.7. Highlights include:
>
> -Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet
> Clustering
> -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet
> using Cluster Classifiers
> -Collections and Math api consolidated
> -(Complementary) Naive Bayes refactored and cleaned
> -Watchmaker and Old Naive Bayes dropped.
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.7 are detailed in the release notes<
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261
> >.
> Downloads of all releases available from Apache mirrors<
> http://www.apache.org/dyn/closer.cgi/mahout/>.
>
> Enjoy!
>
> Regards,
> Paritosh
>
Re: Apache Mahout 0.7 Released
Posted by Roman Shaposhnik <rv...@apache.org>.
On Sat, Jun 16, 2012 at 3:44 AM, Paritosh Ranjan <pr...@xebia.com> wrote:
> Apache Mahout has reached version 0.7. All developers are encouraged to begin using version 0.7. Highlights include:
>
> -Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet Clustering
> -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet using Cluster Classifiers
> -Collections and Math api consolidated
> -(Complementary) Naive Bayes refactored and cleaned
> -Watchmaker and Old Naive Bayes dropped.
> -Many bug fixes, refactorings, and other small improvements
>
> Changes in 0.7 are detailed in the release notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>.
> Downloads of all releases available from Apache mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>.
Great stuff! Perhaps also of interest is that Mahout 0.7 is now compatible
with Hadoop 2.X.
Thanks,
Roman.
Fwd: Apache Mahout 0.7 Released
Posted by Robin Anil <ro...@gmail.com>.
---------- Forwarded message ----------
From: "Paritosh Ranjan" <pr...@xebia.com>
Date: Jun 16, 2012 5:45 AM
Subject: Apache Mahout 0.7 Released
To: "dev@mahout.apache.org" <de...@mahout.apache.org>
Apache Mahout has reached version 0.7. All developers are encouraged to
begin using version 0.7. Highlights include:
-Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet
Clustering
-New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet
using Cluster Classifiers
-Collections and Math api consolidated
-(Complementary) Naive Bayes refactored and cleaned
-Watchmaker and Old Naive Bayes dropped.
-Many bug fixes, refactorings, and other small improvements
Changes in 0.7 are detailed in the release notes<
https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261
>.
Downloads of all releases available from Apache mirrors<
http://www.apache.org/dyn/closer.cgi/mahout/>.
Enjoy!
Regards,
Paritosh
Fwd: Apache Mahout 0.7 Released
Posted by Robin Anil <ro...@gmail.com>.
---------- Forwarded message ----------
From: "Paritosh Ranjan" <pr...@xebia.com>
Date: Jun 16, 2012 5:45 AM
Subject: Apache Mahout 0.7 Released
To: "dev@mahout.apache.org" <de...@mahout.apache.org>
Apache Mahout has reached version 0.7. All developers are encouraged to
begin using version 0.7. Highlights include:
-Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet
Clustering
-New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet
using Cluster Classifiers
-Collections and Math api consolidated
-(Complementary) Naive Bayes refactored and cleaned
-Watchmaker and Old Naive Bayes dropped.
-Many bug fixes, refactorings, and other small improvements
Changes in 0.7 are detailed in the release notes<
https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261
>.
Downloads of all releases available from Apache mirrors<
http://www.apache.org/dyn/closer.cgi/mahout/>.
Enjoy!
Regards,
Paritosh