svn commit: r942948 - in /lucene/mahout/pmc: ./ board-reports/ board-reports/2010/ board-reports/2010/board-report-may.txt

[sr...@apache.org]

Author: srowen
Date: Mon May 10 23:16:00 2010
New Revision: 942948

URL: http://svn.apache.org/viewvc?rev=942948&view=rev
Log:
First draft of May board report

Added:
    lucene/mahout/pmc/
    lucene/mahout/pmc/board-reports/
    lucene/mahout/pmc/board-reports/2010/
    lucene/mahout/pmc/board-reports/2010/board-report-may.txt

Added: lucene/mahout/pmc/board-reports/2010/board-report-may.txt
URL: http://svn.apache.org/viewvc/lucene/mahout/pmc/board-reports/2010/board-report-may.txt?rev=942948&view=auto
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+=== Mahout Status Report: May 2010 ===
+
+This is the first report from Mahout as a top-level Apache project. Mahout
+recently reported status with Lucene's special April report. We take the
+opportunity to summarize Mahout state and restate recent activity.
+
+Mahout's goal is to build scalable machine learning libraries. "Scalable"
+means Hadoop-based implementations using MapReduce. The "machine learning"
+implemented to date has been primarily in the broad areas of:
+
+- Collaborative filtering / recommender engines
+- Clustering
+- Classification
+- Frequent item set mining
+
+Mahout has created a release approximately every six months, most recently
+releasing version 0.3 in March 2010. The project remains in a state of
+rapid change and evolution, and looks to release 0.4 in September, 2010.
+Recent activity in the project can be viewed here:
+
+https://issues.apache.org/jira/secure/IssueNavigator.jspa?
+  pid=12310751&fixfor=12314396&resolution=1
+
+Mahout will mentor five projects as part of Google's Summer of Code 
+program. The projects will add or enhance capability in the specific 
+areas of:
+
+- Boltzmann Machines
+- Support Vector Machines
+- Singular Value Decomposition for recommendations
+- Neural network with back propagation learning
+- Eigencuts spectral clustering
+
+The book "Mahout in Action", published by Manning, continues to be written
+and is approximately half complete. It has received some favorable feedback
+via Manning's early access program.