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Herby Gillot (herbygillot) pushed a commit to branch master
in repository macports-ports.

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<p><a href="https://github.com/macports/macports-ports/commit/4cde6feb867097f08002f80c2a14047547d649fc">https://github.com/macports/macports-ports/commit/4cde6feb867097f08002f80c2a14047547d649fc</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 4cde6feb867097f08002f80c2a14047547d649fc
</span>Author: barracuda156 <vital.had@gmail.com>
AuthorDate: Fri Nov 10 09:34:17 2023 +0800

<span style='display:block; white-space:pre;color:#404040;'>    R-evclass: update to 2.0.2
</span>---
 R/R-evclass/Portfile | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/R/R-evclass/Portfile b/R/R-evclass/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 0d89da8b8bf..474887e8aee 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/R/R-evclass/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/R/R-evclass/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -3,7 +3,7 @@
</span> PortSystem          1.0
 PortGroup           R 1.0
 
<span style='display:block; white-space:pre;background:#ffe0e0;'>-R.setup             cran cran evclass 2.0.1
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+R.setup             cran tdenoeux evclass 2.0.2
</span> revision            0
 categories-append   math
 maintainers         {@barracuda156 gmail.com:vital.had} openmaintainer
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -12,9 +12,9 @@ description         Evidential distance-based classification
</span> long_description    Different evidential classifiers, which provide outputs in the form of Dempster–Shafer 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.
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</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    sha256  24d23c99cd709e2c79be1c57444dbebd79d3167e51df15891ec34065cbb6b8ec \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>-                    size    258525
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  80ece1e1f221c09f94fc60af733b2354d6bccaf4 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  f2e23ede12248af0689f1983dde2b76217b9033c595afbb5350a3de59e8b114e \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    258585
</span> supported_archs     noarch
 
 depends_lib-append  port:R-FNN \
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