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authormiwi <miwi@FreeBSD.org>2007-01-22 15:51:28 +0800
committermiwi <miwi@FreeBSD.org>2007-01-22 15:51:28 +0800
commitfaec6eff2529335c6be51bcfd92f20950713cbb9 (patch)
tree4c3565e654e56df0c6dcd667a64a0474e0782b17 /textproc/Makefile
parentd3c7781e61e3bcee6eea3d493b132043a8ff91ea (diff)
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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>
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