Apache Mahout is a machine-learning tool. By enabling you to build machine-learning libraries that are scalable to "reasonably large" datasets, it aims to make building intelligent applications easier and faster.

  Note:

To see which version of Mahout is shipping in CDH 5, check the Version and Packaging Information. For important information on new and changed components, see the CDH 5 Release Notes.

The main use cases for Mahout are:

• Recommendation mining, which tries to identify things users will like on the basis of their past behavior (for example shopping or online-content recommendations)
• Clustering, which groups similar items (for example, documents on similar topics)
• Classification, which learns from existing categories what members of each category have in common, and on that basis tries to categorize new items
• Frequent item-set mining, which takes a set of item-groups (such as terms in a query session, or shopping-cart content) and identifies items that usually appear together

  Important:

If you have not already done so, install Cloudera's yum, zypper/YaST or apt repository before using the instructions below to install Mahout. For instructions, see Installing CDH 5.