mahout

Cars honked behind him. The mahout turned and gesticulated at him with his iron rod. A passerby yelled at him not to block traffic.

if he took no notice of me, it would be safe to leave him until the mahout came back.

I did not expect the price for the mahout tusk to be so high. I think we will continue developing the the project in cow bone.

So the mahout had to report this to the king, although he said nothing about selling the friendly dog.

After giving a brief overview of machine-learning concepts, I'll introduce you to the Apache Mahout project's features, history, and goals.

I'll take a deeper look at each of these tasks at the conceptual level before exploring their implementations in Mahout.

Another important aspect of the Mahout solution is the set of tools for creating vector representations of textual data.

In your use of Mahout, you will likely want to try creating vectors in a variety of ways to see which yields the best results.

Run the clustering algorithm of choice using one of the many Hadoop-ready driver programs available in Mahout.

The output from such a test in Mahout is a data structure called a confusion matrix.

Mahout contains implementations for clustering, categorization, CF, and evolutionary programming.

The results of running these two steps is a file like the n2. tar. gz file you downloaded in the Getting started with Mahout section.

in which case he would merely wander harmlessly about until the mahout came back and caught him.

The next time you have a need to cluster, categorize, or recommend content, especially at large scale, give Apache Mahout a look.

but the mahout God forbade you to stay there.

Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.

By doing these re-enactments we are raising the standing of the mahout back to what it was.

However, for this article, I'll show only the Naive Bayes approach, because it demonstrates the overall problem and inputs in Mahout.

"What's the meaning of this? " he shouted to the mahout.

She added the warrior re-enactment is helping to improve the mahout's status in Thai society.

You'll find more information on choosing a similarity measure at the Mahout Web site (see Resources).

Then I'll show you how to use Mahout to do some interesting machine-learning tasks using the freely available Wikipedia data set.

This is the first step in enabling Mahout learning algorithms process a data base.

"I like the freedom of being a mahout, " he said.

Mahout supports several clustering-algorithm implementations, all written in Map-Reduce, each with its own set of goals and criteria

Mahout and Elephant