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# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
PortSystem 1.0
PortGroup R 1.0
R.setup cran tdenoeux evclass 2.0.2
revision 1
categories-append math
maintainers nomaintainer
license GPL-3
description Evidential distance-based classification
long_description Different evidential classifiers, which provide outputs in the form of DempsterShafer mass functions. \
The methods are: the evidential K-nearest neighbor rule, the evidential neural network, \
radial basis function neural networks, logistic regression, feed-forward neural networks.
checksums rmd160 80ece1e1f221c09f94fc60af733b2354d6bccaf4 \
sha256 f2e23ede12248af0689f1983dde2b76217b9033c595afbb5350a3de59e8b114e \
size 258585
supported_archs noarch
platforms {darwin any}
depends_lib-append port:R-FNN \
port:R-ibelief \
port:R-R.utils
depends_test-append port:R-knitr \
port:R-rmarkdown
test.run yes