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authorMartin Wilke <miwi@FreeBSD.org>2007-01-22 07:51:28 +0000
committerMartin Wilke <miwi@FreeBSD.org>2007-01-22 07:51:28 +0000
commit3775cead7768b021efc99d4a73e21cd9a6a4573f (patch)
tree4a04471942e9c34e5773b9a5f48abd2599c73ac1 /textproc/Makefile
parent45a43fe6fa9db72a4c1a379e8b356caf12db521c (diff)
downloadports-3775cead7768b021efc99d4a73e21cd9a6a4573f.tar.gz
ports-3775cead7768b021efc99d4a73e21cd9a6a4573f.zip
Weka is a collection of machine learning algorithms for data mining tasks. The
algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. WWW: http://www.cs.waikato.ac.nz/ml/weka/ PR: ports/108143 Submitted by: Simon Olofsson <simon at olofsson.de>
Notes
Notes: svn path=/head/; revision=182950
Diffstat (limited to 'textproc/Makefile')
-rw-r--r--textproc/Makefile1
1 files changed, 1 insertions, 0 deletions
diff --git a/textproc/Makefile b/textproc/Makefile
index 4dca7a9849b4..3fda39c01d1d 100644
--- a/textproc/Makefile
+++ b/textproc/Makefile
@@ -930,6 +930,7 @@
SUBDIR += wdiff
SUBDIR += webcpp
SUBDIR += website
+ SUBDIR += weka
SUBDIR += word2x
SUBDIR += wordnet
SUBDIR += words