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author | Martin Wilke <miwi@FreeBSD.org> | 2011-03-25 12:08:20 +0000 |
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committer | Martin Wilke <miwi@FreeBSD.org> | 2011-03-25 12:08:20 +0000 |
commit | c72b94c30a94d9ba9a5925d592dc92973d09bab2 (patch) | |
tree | 41f2bf8fccc24476b703aaf7ca2cd0cd3dbe824b /science/rubygem-ai4r | |
parent | ed00ff9b29d811a502aab6e7d6eed9e1db372717 (diff) | |
download | ports-c72b94c30a94d9ba9a5925d592dc92973d09bab2.tar.gz ports-c72b94c30a94d9ba9a5925d592dc92973d09bab2.zip |
Notes
Diffstat (limited to 'science/rubygem-ai4r')
-rw-r--r-- | science/rubygem-ai4r/Makefile | 20 | ||||
-rw-r--r-- | science/rubygem-ai4r/distinfo | 2 | ||||
-rw-r--r-- | science/rubygem-ai4r/pkg-descr | 30 |
3 files changed, 52 insertions, 0 deletions
diff --git a/science/rubygem-ai4r/Makefile b/science/rubygem-ai4r/Makefile new file mode 100644 index 000000000000..ce0ef81d86fe --- /dev/null +++ b/science/rubygem-ai4r/Makefile @@ -0,0 +1,20 @@ +# Ports collection makefile for: rubygem-ai4r +# Date created: 19 Mar 2011 +# Whom: Eric Freeman <freebsdports@chillibear.com> +# +# $FreeBSD$ +# + +PORTNAME= ai4r +PORTVERSION= 1.9 +CATEGORIES= science rubygems +MASTER_SITES= RG + +MAINTAINER= freebsdports@chillibear.com +COMMENT= Ruby implementations of artificial intelligence algorithms + +USE_RUBY= yes +USE_RUBYGEMS= yes +RUBYGEM_AUTOPLIST= yes + +.include <bsd.port.mk> diff --git a/science/rubygem-ai4r/distinfo b/science/rubygem-ai4r/distinfo new file mode 100644 index 000000000000..ff8593c21416 --- /dev/null +++ b/science/rubygem-ai4r/distinfo @@ -0,0 +1,2 @@ +SHA256 (rubygem/ai4r-1.9.gem) = 74e2eb8b4c6010b0f4231160893f987989cd786fc88775b88840dc8f62ec19bb +SIZE (rubygem/ai4r-1.9.gem) = 50176 diff --git a/science/rubygem-ai4r/pkg-descr b/science/rubygem-ai4r/pkg-descr new file mode 100644 index 000000000000..1dc56094efb0 --- /dev/null +++ b/science/rubygem-ai4r/pkg-descr @@ -0,0 +1,30 @@ +AI4R is a collection of ruby algorithms implementations, +covering several Artificial intelligence fields. It implements: + + * Genetic algorithms + * Self-organized maps (SOM) + * Neural Networks + - Multilayer perceptron with Backpropagation learning + - Hopfield net + * Automatic classifiers (Machine Learning) + - ID3 (Decision Trees) + - PRISM (J. Cendrowska, 1987) + - Multilayer Perceptron + - OneR (AKA One Attribute Rule, 1R) + - ZeroR + - Hyperpipes + - Naive Bayes + - IB1 (D. Aha, D. Kibler - 1991) + * Data clustering + - K-means + - Bisecting k-means + - Single linkage + - Complete linkage + - Average linkage + - Weighted Average linkage + - Centroid linkage + - Median linkage + - Ward's method linkage + - Diana (Divisive Analysis) + +WWW: http://ai4r.rubyforge.org/ |