| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| Source: mahout |
| Section: misc |
| Priority: extra |
| Maintainer: Andrew Bayer <abayer@apache.org> |
| Build-Depends: debhelper (>= 6), git-core |
| Standards-Version: 3.8.0 |
| Homepage: http://mahout.apache.org |
| |
| Package: mahout |
| Architecture: all |
| Depends: hadoop, bigtop-utils |
| Description: A set of Java libraries for scalable machine learning. |
| Mahout's goal is to build scalable machine learning libraries. |
| With scalable we mean: |
| . |
| Scalable to reasonably large data sets. Our core algorithms for clustering, |
| classfication and batch based collaborative filtering are implemented on top of |
| Apache Hadoop using the map/reduce paradigm. However we do not restrict |
| contributions to Hadoop based implementations: Contributions that run on a |
| single node or on a non-Hadoop cluster are welcome as well. The core libraries |
| are highly optimized to allow for good performance also for non-distributed |
| algorithms. |
| Scalable to support your business case. Mahout is distributed under a |
| commercially friendly Apache Software license. |
| Scalable community. The goal of Mahout is to build a vibrant, responsive, |
| diverse community to facilitate discussions not only on the project itself but |
| also on potential use cases. Come to the mailing lists to find out more. |
| |
| |
