/ / / Apache Mahout

Apache Mahout logo Apache Mahout and Flamory

Flamory provides the following integration abilities:

  • Create and use advanced snapshots for Apache Mahout
  • Take and edit Apache Mahout screenshots
  • Automatically copy selected text from Apache Mahout and save it to Flamory history

Apache Mahout bookmarking

Flamory provides advanced bookmarking for Apache Mahout. It captures screen, selection, text on the page and other context. You can find this bookmark later using search by page content or looking through thumbnail list.

For best experience use Google Chrome browser with Flamory plugin installed.

Screenshot editing

Flamory helps you capture and store screenshots from Apache Mahout by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Application info

Apache Mahout is an Apache project to produce free implementations of distributed or otherwise scalable machine learning algorithms on the Hadoop platform. Mahout is a work in progress; the number of implemented algorithms has grown quickly, but there are still various algorithms missing.While Mahout's core algorithms for clustering, classification and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm, it does not restrict contributions to Hadoop based implementations. Contributions that run on a single node or on a non-Hadoop cluster are also welcomed. For example, the 'Taste' collaborative-filtering recommender component of Mahout was originally a separate project, and can run stand-alone without Hadoop. Integration with initiatives such as the Pregel-like Giraph are actively under discussion.External links EC2 AMI with Hadoop and Mahout Giraph - a Graph processing infrastructure that runs on Hadoop (see Pregel). Pregel - Google's internal graph processing platform, released details in ACM paper.

Apache Mahout is also known as Mahout. Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of Apache Mahout. Please contact us if you have different integration experience.