Grant’s Grunts: Lucene Edition

HP, Intel and Yahoo To Research Cloud Computing – Yahoo News Boy, this could really come in handy in Open Source, especially projects like Mahout, Nutch and distributed Solr.  I find my biggest personal challenge on Mahout is access to computing resources.  I personally don’t have the financial backing to buy much time on Amazon [...]

Manning: Taming Text Scary…  I guess it is real!

BarCamp wiki / BarCampRDU Threw my name in the ring for BarCamp RDU today.  Haven’t been to BarCamp before, but Erik Hatcher suggested I go and check it out. Also put in a Proposed Session of “Apache Mahout and Hadoop – Having fun with Map Reduce and distributed computing”.  Figure we talk about the basics of [...]

It’s been an interesting few months over in Mahout land. First off, I am psyched about the response the project has been getting. Seems like there is a pent up demand for large scale machine learning these days.  I figured we would do all right in the early months, but I didn’t think we would [...]

Jeff Eastman’s Marvelous Cloud Computing Adventure Mahout’s newest committer, Jeff Eastman, has a new blog on Mahout and Hadoop…

SummerOfCode2008 – General Wiki Check out the Apache Summer of Code page (link above) to see how you can spend the summer developing large scale machine learning algorithms and help out the Mahout project.  We’d love to have a few students put together a some projects implementing one or more machine learning algorithms using Hadoop.  [...]

I committed a first crack at k-means clustering to Mahout last night, thanks again to Jeff Eastman’s excellent work.  This means Mahout now has two clustering algorithms designed to run using Hadoop‘s map reduce algorithm, meaning it should be able to scale up to very large data sets. To learn more about k-means, see the [...]

FeatherCast » Blog Archive » Episode 43: Lucene I did a FeatherCast today with Rich Bowen.  Dang, he is quick at editing…

Yahoo Search Wants to Be More Like Google, Embraces Hadoop Hadoop is an open-source implementation of Google’s MapReduce software and file system. It takes all the links on the Web found by a search engine’s crawlers and “reduces” them to a map of the Web so that ranking algorithms can be run against them. Ahem, [...]

I have committed Mahout’s first Hadoop based machine learning code: https://issues.apache.org/jira/browse/MAHOUT-3 The code is an initial implementation of Canopy clustering. It is a start and it is great to see others jump right in and start adding code!  Great work, Jeff Eastman, who contributed the initial implementation! Now, we can start building more goodness in [...]