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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.

Version: 0.9 License: Apache-2 GitHub
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115 build(s) found

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Builder Build Number Start Time Elapsed Time Watcher Build Status
10.9 134011 2020-12-18 6:22:23 0:00:19 40672 failed install-dependencies
10.15 21547 2020-01-19 14:13:06 0:00:44 2357 failed install-dependencies
10.13 76180 2020-01-19 14:11:58 0:00:36 22091 failed install-dependencies
10.12 111458 2020-01-19 14:10:43 0:00:29 30114 failed install-dependencies
10.14 50989 2020-01-19 14:10:21 0:00:35 12810 failed install-dependencies
10.11 106348 2020-01-19 14:09:59 0:00:31 31134 failed install-dependencies
10.10 107878 2020-01-19 14:09:08 0:00:27 31183 failed install-dependencies
10.9 110483 2020-01-19 14:08:10 0:00:21 31126 failed install-dependencies
10.15 18274 2019-12-31 17:40:04 0:00:39 1819 failed install-dependencies
10.10 89915 2019-07-04 8:09:20 0:00:33 25813 failed install-dependencies
10.11 89402 2019-07-03 23:18:27 0:00:40 25767 failed install-dependencies
10.12 94388 2019-07-03 21:03:16 0:00:42 24754 failed install-dependencies
10.13 59725 2019-07-03 12:31:33 0:00:41 16734 failed install-dependencies
10.14 33917 2019-07-03 2:25:31 0:00:28 7450 failed install-dependencies
10.9 92042 2019-07-02 16:25:24 0:00:27 25759 failed install-dependencies