weka.paketlendi
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# Tanım: A collection of machine learning algorithms for data mining tasks
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# URL: http://www.cs.waikato.ac.nz/ml/weka/
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# Paketçi: milisarge
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# Gerekler: openjdk
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# Grup: geliştirme
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isim=weka
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surum=3.8.2
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devir=1
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kaynak=(http://downloads.sourceforge.net/sourceforge/weka/weka-${surum//./-}.zip
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weka.sh
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weka.desktop)
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derle() {
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cd $SRC/$isim-${surum//./-}
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# install jar file
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mkdir -p $PKG/usr/share/java/$isim
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install -m644 weka.jar $PKG/usr/share/java/$isim/weka.jar
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# setup for freedesktop icons and shell script
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mkdir -p $PKG/usr/share/{applications,pixmaps}
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mkdir -p $PKG/usr/bin
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install -m644 weka.ico $PKG/usr/share/pixmaps/weka.ico
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install -m644 $SRC/weka.desktop $PKG/usr/share/applications/weka.desktop
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install -m755 $SRC/weka.sh $PKG/usr/bin/weka
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}
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[Desktop Entry]
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Encoding=UTF-8
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Categories=Development;Science;Math;Database;Java;
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Name=Weka
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Comment=A data mining and machine learning toolkit
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Comment[de]=Werkzeuge für Datenfilterung und Lernen durch Maschine
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Comment[en]=A data mining and machine learning toolkit
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Comment[es]=Herramientas para minería de datos y aprendizaje de máquinas
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Comment[fr]=Outils pour l'extraction de connaissances a partir des données
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Comment[it]=Attrezzi per l'estrazione di dati ed imparare di macchina
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Comment[pt]=Ferramentas para a extração de dados e a aprendizagem de máquina
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Comment[tr]=Veri Madenciliği ve Makina Öğrenme Aracı
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Icon=weka.ico
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TryExec=/usr/bin/weka
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Exec=/usr/bin/weka
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URL=http://www.cs.waikato.ac.nz/ml/weka/
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StartupNotify=false
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Terminal=false
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Type=Application
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#! /bin/sh
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# Note: the '-Xmx2g' flag is used to set the maximum memory that the java
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# program is allowed. When working with large data sets, this number may need
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# to be increased based on how much memory you wish to allow weka to have.
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# Specifying command line arguments will override the defaults shown here.
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# Example: '-Xmx4g'
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DEFAULT_ARGS='-Xms32m -Xmx2g'
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if [ $# -gt 0 ]; then
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ARGS="$@"
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else
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ARGS="$DEFAULT_ARGS"
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fi
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java $ARGS -jar /usr/share/java/weka/weka.jar
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