A scalable machine learning library that supports large data sets
Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of algorithms for classification, clustering, genetic programming and collaborative filtering, all enabled to scale by leveraging the power of Hadoop's Map-Reduce (https://hadoop.apache.org) implementation.
Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of algorithms for classification, clustering, genetic programming and collaborative filtering, all enabled to scale by leveraging the power of Hadoop's Map-Reduce (https://hadoop.apache.org) implementation.
To install mahout, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install mahout
To see what files were installed by mahout, run:
port contents mahout
To later upgrade mahout, run:
sudo port selfupdate && sudo port upgrade mahout
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.