I: pbuilder: network access will be disabled during build
I: Current time: Sat Feb 15 15:14:05 -12 2025
I: pbuilder-time-stamp: 1739675645
I: Building the build Environment
I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz]
I: copying local configuration
W: --override-config is not set; not updating apt.conf Read the manpage for details.
I: mounting /proc filesystem
I: mounting /sys filesystem
I: creating /{dev,run}/shm
I: mounting /dev/pts filesystem
I: redirecting /dev/ptmx to /dev/pts/ptmx
I: policy-rc.d already exists
I: using eatmydata during job
I: Copying source file
I: copying [weka_3.6.14-2.dsc]
I: copying [./weka_3.6.14.orig.tar.gz]
I: copying [./weka_3.6.14-2.debian.tar.xz]
I: Extracting source
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/tmp/dpkg-verify-sig.CL5d6Tsv/trustedkeys.kbx': General error
gpgv: Signature made Mon Feb 8 14:20:54 2021
gpgv: using RSA key B8CE4DE21080DCF903E16C40F513C419E4B9D0AC
gpgv: issuer "ebourg@apache.org"
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./weka_3.6.14-2.dsc
dpkg-source: info: extracting weka in weka-3.6.14
dpkg-source: info: unpacking weka_3.6.14.orig.tar.gz
dpkg-source: info: unpacking weka_3.6.14-2.debian.tar.xz
dpkg-source: info: using patch list from debian/patches/series
dpkg-source: info: applying jar.patch
dpkg-source: info: applying disable-rmic-static-stub.patch
I: using fakeroot in build.
I: Installing the build-deps
I: user script /srv/workspace/pbuilder/4959/tmp/hooks/D02_print_environment starting
I: set
BUILDDIR='/build/reproducible-path'
BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other'
BUILDUSERNAME='pbuilder1'
BUILD_ARCH='i386'
DEBIAN_FRONTEND='noninteractive'
DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=16 '
DISTRIBUTION='bullseye'
HOME='/root'
HOST_ARCH='i386'
IFS='
'
INVOCATION_ID='000217fc05c94bcfadf4db0414ea65cf'
LANG='C'
LANGUAGE='en_US:en'
LC_ALL='C'
LD_LIBRARY_PATH='/usr/lib/libeatmydata'
LD_PRELOAD='libeatmydata.so'
MAIL='/var/mail/root'
OPTIND='1'
PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games'
PBCURRENTCOMMANDLINEOPERATION='build'
PBUILDER_OPERATION='build'
PBUILDER_PKGDATADIR='/usr/share/pbuilder'
PBUILDER_PKGLIBDIR='/usr/lib/pbuilder'
PBUILDER_SYSCONFDIR='/etc'
PPID='4959'
PS1='# '
PS2='> '
PS4='+ '
PWD='/'
SHELL='/bin/bash'
SHLVL='2'
SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.8oUMLR5T/pbuilderrc_XSxx --distribution bullseye --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.8oUMLR5T/b1 --logfile b1/build.log weka_3.6.14-2.dsc'
SUDO_GID='112'
SUDO_UID='107'
SUDO_USER='jenkins'
TERM='unknown'
TZ='/usr/share/zoneinfo/Etc/GMT+12'
USER='root'
_='/usr/bin/systemd-run'
http_proxy='http://85.184.249.68:3128'
I: uname -a
Linux ionos6-i386 6.1.0-17-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.69-1 (2023-12-30) x86_64 GNU/Linux
I: ls -l /bin
total 5776
-rwxr-xr-x 1 root root 1367848 Mar 27 2022 bash
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bunzip2
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bzcat
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff
-rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep
-rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep
-rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bzip2
-rwxr-xr-x 1 root root 17768 Jul 20 2020 bzip2recover
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore
-rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore
-rwxr-xr-x 1 root root 38824 Sep 22 2020 cat
-rwxr-xr-x 1 root root 71624 Sep 22 2020 chgrp
-rwxr-xr-x 1 root root 67528 Sep 22 2020 chmod
-rwxr-xr-x 1 root root 75752 Sep 22 2020 chown
-rwxr-xr-x 1 root root 157960 Sep 22 2020 cp
-rwxr-xr-x 1 root root 128724 Dec 10 2020 dash
-rwxr-xr-x 1 root root 124904 Sep 22 2020 date
-rwxr-xr-x 1 root root 92172 Sep 22 2020 dd
-rwxr-xr-x 1 root root 100752 Sep 22 2020 df
-rwxr-xr-x 1 root root 153964 Sep 22 2020 dir
-rwxr-xr-x 1 root root 83644 Jan 20 2022 dmesg
lrwxrwxrwx 1 root root 8 Nov 7 2019 dnsdomainname -> hostname
lrwxrwxrwx 1 root root 8 Nov 7 2019 domainname -> hostname
-rwxr-xr-x 1 root root 34664 Sep 22 2020 echo
-rwxr-xr-x 1 root root 28 Jan 25 2023 egrep
-rwxr-xr-x 1 root root 34664 Sep 22 2020 false
-rwxr-xr-x 1 root root 28 Jan 25 2023 fgrep
-rwxr-xr-x 1 root root 71928 Jan 20 2022 findmnt
-rwsr-xr-x 1 root root 30112 Feb 26 2021 fusermount
-rwxr-xr-x 1 root root 210488 Jan 25 2023 grep
-rwxr-xr-x 2 root root 2346 Apr 10 2022 gunzip
-rwxr-xr-x 1 root root 6447 Apr 10 2022 gzexe
-rwxr-xr-x 1 root root 100952 Apr 10 2022 gzip
-rwxr-xr-x 1 root root 21916 Nov 7 2019 hostname
-rwxr-xr-x 1 root root 83980 Sep 22 2020 ln
-rwxr-xr-x 1 root root 55572 Feb 7 2020 login
-rwxr-xr-x 1 root root 153964 Sep 22 2020 ls
-rwxr-xr-x 1 root root 153124 Jan 20 2022 lsblk
-rwxr-xr-x 1 root root 96328 Sep 22 2020 mkdir
-rwxr-xr-x 1 root root 79912 Sep 22 2020 mknod
-rwxr-xr-x 1 root root 47048 Sep 22 2020 mktemp
-rwxr-xr-x 1 root root 58920 Jan 20 2022 more
-rwsr-xr-x 1 root root 50720 Jan 20 2022 mount
-rwxr-xr-x 1 root root 13856 Jan 20 2022 mountpoint
-rwxr-xr-x 1 root root 157996 Sep 22 2020 mv
lrwxrwxrwx 1 root root 8 Nov 7 2019 nisdomainname -> hostname
lrwxrwxrwx 1 root root 14 Dec 16 2021 pidof -> /sbin/killall5
-rwxr-xr-x 1 root root 38824 Sep 22 2020 pwd
lrwxrwxrwx 1 root root 4 Mar 27 2022 rbash -> bash
-rwxr-xr-x 1 root root 46984 Sep 22 2020 readlink
-rwxr-xr-x 1 root root 75720 Sep 22 2020 rm
-rwxr-xr-x 1 root root 46984 Sep 22 2020 rmdir
-rwxr-xr-x 1 root root 22292 Sep 27 2020 run-parts
-rwxr-xr-x 1 root root 125036 Dec 22 2018 sed
lrwxrwxrwx 1 root root 4 Feb 8 15:47 sh -> dash
-rwxr-xr-x 1 root root 34696 Sep 22 2020 sleep
-rwxr-xr-x 1 root root 83880 Sep 22 2020 stty
-rwsr-xr-x 1 root root 79396 Jan 20 2022 su
-rwxr-xr-x 1 root root 34696 Sep 22 2020 sync
-rwxr-xr-x 1 root root 602584 Feb 17 2021 tar
-rwxr-xr-x 1 root root 13860 Sep 27 2020 tempfile
-rwxr-xr-x 1 root root 108520 Sep 22 2020 touch
-rwxr-xr-x 1 root root 34664 Sep 22 2020 true
-rwxr-xr-x 1 root root 17768 Feb 26 2021 ulockmgr_server
-rwsr-xr-x 1 root root 30236 Jan 20 2022 umount
-rwxr-xr-x 1 root root 34664 Sep 22 2020 uname
-rwxr-xr-x 2 root root 2346 Apr 10 2022 uncompress
-rwxr-xr-x 1 root root 153964 Sep 22 2020 vdir
-rwxr-xr-x 1 root root 63024 Jan 20 2022 wdctl
lrwxrwxrwx 1 root root 8 Nov 7 2019 ypdomainname -> hostname
-rwxr-xr-x 1 root root 1984 Apr 10 2022 zcat
-rwxr-xr-x 1 root root 1678 Apr 10 2022 zcmp
-rwxr-xr-x 1 root root 5898 Apr 10 2022 zdiff
-rwxr-xr-x 1 root root 29 Apr 10 2022 zegrep
-rwxr-xr-x 1 root root 29 Apr 10 2022 zfgrep
-rwxr-xr-x 1 root root 2081 Apr 10 2022 zforce
-rwxr-xr-x 1 root root 8049 Apr 10 2022 zgrep
-rwxr-xr-x 1 root root 2206 Apr 10 2022 zless
-rwxr-xr-x 1 root root 1842 Apr 10 2022 zmore
-rwxr-xr-x 1 root root 4577 Apr 10 2022 znew
I: user script /srv/workspace/pbuilder/4959/tmp/hooks/D02_print_environment finished
-> Attempting to satisfy build-dependencies
-> Creating pbuilder-satisfydepends-dummy package
Package: pbuilder-satisfydepends-dummy
Version: 0.invalid.0
Architecture: i386
Maintainer: Debian Pbuilder Team <pbuilder-maint@lists.alioth.debian.org>
Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder
This package was created automatically by pbuilder to satisfy the
build-dependencies of the package being currently built.
Depends: ant, cup (>= 0.11a+20060608), debhelper-compat (= 13), default-jdk, ghostscript, jflex, texlive-latex-base, texlive-latex-extra
dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'.
Selecting previously unselected package pbuilder-satisfydepends-dummy.
(Reading database ... 17763 files and directories currently installed.)
Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ...
Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ...
dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested:
pbuilder-satisfydepends-dummy depends on ant; however:
Package ant is not installed.
pbuilder-satisfydepends-dummy depends on cup (>= 0.11a+20060608); however:
Package cup is not installed.
pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however:
Package debhelper-compat is not installed.
pbuilder-satisfydepends-dummy depends on default-jdk; however:
Package default-jdk is not installed.
pbuilder-satisfydepends-dummy depends on ghostscript; however:
Package ghostscript is not installed.
pbuilder-satisfydepends-dummy depends on jflex; however:
Package jflex is not installed.
pbuilder-satisfydepends-dummy depends on texlive-latex-base; however:
Package texlive-latex-base is not installed.
pbuilder-satisfydepends-dummy depends on texlive-latex-extra; however:
Package texlive-latex-extra is not installed.
Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ...
Reading package lists...
Building dependency tree...
Reading state information...
Initializing package states...
Writing extended state information...
Building tag database...
pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0)
pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0)
The following NEW packages will be installed:
ant{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdextrautils{a} ca-certificates{a} ca-certificates-java{a} cup{a} debhelper{a} default-jdk{a} default-jdk-headless{a} default-jre{a} default-jre-headless{a} dh-autoreconf{a} dh-strip-nondeterminism{a} dwz{a} file{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-urw-base35{a} gettext{a} gettext-base{a} ghostscript{a} groff-base{a} intltool-debian{a} java-common{a} jflex{a} libapache-pom-java{a} libarchive-zip-perl{a} libasound2{a} libasound2-data{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libbrotli1{a} libbsd0{a} libcairo2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcups2{a} libdbus-1-3{a} libdebhelper-perl{a} libdeflate0{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libedit2{a} libelf1{a} libexpat1{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfreetype6{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libglapi-mesa{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libharfbuzz0b{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libjbig0{a} libjbig2dec0{a} libjpeg62-turbo{a} libkpathsea6{a} liblcms2-2{a} libllvm11{a} libmagic-mgc{a} libmagic1{a} libmd0{a} libmpdec3{a} libnspr4{a} libnss3{a} libopenjp2-7{a} libpaper-utils{a} libpaper1{a} libpciaccess0{a} libpcsclite1{a} libpdfbox-java{a} libpipeline1{a} libpixman-1-0{a} libpng16-16{a} libptexenc1{a} libpython3-stdlib{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libreadline8{a} libsensors-config{a} libsensors5{a} libsigsegv2{a} libsm6{a} libsub-override-perl{a} libsynctex2{a} libteckit0{a} libtexlua53{a} libtexluajit2{a} libtiff5{a} libtool{a} libuchardet0{a} libvulkan1{a} libwebp6{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxdamage1{a} libxdmcp6{a} libxext6{a} libxfixes3{a} libxi6{a} libxml2{a} libxmu6{a} libxpm4{a} libxrender1{a} libxshmfence1{a} libxt6{a} libxtst6{a} libxxf86vm1{a} libz3-4{a} libzzip-0-13{a} m4{a} man-db{a} media-types{a} openjdk-11-jdk{a} openjdk-11-jdk-headless{a} openjdk-11-jre{a} openjdk-11-jre-headless{a} openssl{a} po-debconf{a} poppler-data{a} preview-latex-style{a} python3{a} python3-minimal{a} python3.9{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-pictures{a} tzdata{a} ucf{a} x11-common{a} xdg-utils{a}
The following packages are RECOMMENDED but will NOT be installed:
alsa-topology-conf alsa-ucm-conf ant-optional curl dbus dvisvgm fonts-dejavu-extra fonts-droid-fallback libarchive-cpio-perl libatk-wrapper-java-jni libfile-mimeinfo-perl libglib2.0-data libltdl-dev libmail-sendmail-perl libnet-dbus-perl libx11-protocol-perl libxt-dev lmodern lynx mesa-vulkan-drivers ruby shared-mime-info texlive-fonts-recommended texlive-plain-generic tk wget x11-utils x11-xserver-utils xdg-user-dirs
0 packages upgraded, 172 newly installed, 0 to remove and 0 not upgraded.
Need to get 282 MB of archives. After unpacking 845 MB will be used.
Writing extended state information...
Get: 1 http://deb.debian.org/debian bullseye/main i386 bsdextrautils i386 2.36.1-8+deb11u1 [149 kB]
Get: 2 http://deb.debian.org/debian bullseye/main i386 libuchardet0 i386 0.0.7-1 [67.9 kB]
Get: 3 http://deb.debian.org/debian bullseye/main i386 groff-base i386 1.22.4-6 [952 kB]
Get: 4 http://deb.debian.org/debian bullseye/main i386 libpipeline1 i386 1.5.3-1 [36.8 kB]
Get: 5 http://deb.debian.org/debian bullseye/main i386 man-db i386 2.9.4-2 [1367 kB]
Get: 6 http://deb.debian.org/debian bullseye/main i386 poppler-data all 0.4.10-1 [1602 kB]
Get: 7 http://deb.debian.org/debian bullseye/main i386 libpython3.9-minimal i386 3.9.2-1 [801 kB]
Get: 8 http://deb.debian.org/debian bullseye/main i386 libexpat1 i386 2.2.10-2+deb11u5 [101 kB]
Get: 9 http://deb.debian.org/debian bullseye/main i386 python3.9-minimal i386 3.9.2-1 [1956 kB]
Get: 10 http://deb.debian.org/debian bullseye/main i386 python3-minimal i386 3.9.2-3 [38.2 kB]
Get: 11 http://deb.debian.org/debian bullseye/main i386 media-types all 4.0.0 [30.3 kB]
Get: 12 http://deb.debian.org/debian bullseye/main i386 tzdata all 2021a-1+deb11u10 [286 kB]
Get: 13 http://deb.debian.org/debian bullseye/main i386 libmpdec3 i386 2.5.1-1 [91.9 kB]
Get: 14 http://deb.debian.org/debian bullseye/main i386 readline-common all 8.1-1 [73.7 kB]
Get: 15 http://deb.debian.org/debian bullseye/main i386 libreadline8 i386 8.1-1 [173 kB]
Get: 16 http://deb.debian.org/debian bullseye/main i386 libpython3.9-stdlib i386 3.9.2-1 [1703 kB]
Get: 17 http://deb.debian.org/debian bullseye/main i386 python3.9 i386 3.9.2-1 [466 kB]
Get: 18 http://deb.debian.org/debian bullseye/main i386 libpython3-stdlib i386 3.9.2-3 [21.4 kB]
Get: 19 http://deb.debian.org/debian bullseye/main i386 python3 i386 3.9.2-3 [37.9 kB]
Get: 20 http://deb.debian.org/debian bullseye/main i386 sensible-utils all 0.0.14 [14.8 kB]
Get: 21 http://deb.debian.org/debian bullseye/main i386 ucf all 3.0043 [74.0 kB]
Get: 22 http://deb.debian.org/debian bullseye/main i386 tex-common all 6.16 [53.7 kB]
Get: 23 http://deb.debian.org/debian bullseye/main i386 openssl i386 1.1.1w-0+deb11u1 [869 kB]
Get: 24 http://deb.debian.org/debian bullseye/main i386 ca-certificates all 20210119 [158 kB]
Get: 25 http://deb.debian.org/debian bullseye/main i386 libmagic-mgc i386 1:5.39-3+deb11u1 [273 kB]
Get: 26 http://deb.debian.org/debian bullseye/main i386 libmagic1 i386 1:5.39-3+deb11u1 [135 kB]
Get: 27 http://deb.debian.org/debian bullseye/main i386 file i386 1:5.39-3+deb11u1 [69.2 kB]
Get: 28 http://deb.debian.org/debian bullseye/main i386 gettext-base i386 0.21-4 [176 kB]
Get: 29 http://deb.debian.org/debian bullseye/main i386 libnspr4 i386 2:4.29-1 [122 kB]
Get: 30 http://deb.debian.org/debian bullseye/main i386 libnss3 i386 2:3.61-1+deb11u3 [1385 kB]
Get: 31 http://deb.debian.org/debian bullseye/main i386 ca-certificates-java all 20190909+deb11u1 [15.9 kB]
Get: 32 http://deb.debian.org/debian bullseye/main i386 java-common all 0.72 [14.5 kB]
Get: 33 http://deb.debian.org/debian bullseye/main i386 libavahi-common-data i386 0.8-5+deb11u2 [124 kB]
Get: 34 http://deb.debian.org/debian bullseye/main i386 libavahi-common3 i386 0.8-5+deb11u2 [60.4 kB]
Get: 35 http://deb.debian.org/debian bullseye/main i386 libdbus-1-3 i386 1.12.28-0+deb11u1 [236 kB]
Get: 36 http://deb.debian.org/debian bullseye/main i386 libavahi-client3 i386 0.8-5+deb11u2 [64.6 kB]
Get: 37 http://deb.debian.org/debian bullseye/main i386 libcups2 i386 2.3.3op2-3+deb11u6 [367 kB]
Get: 38 http://deb.debian.org/debian bullseye/main i386 liblcms2-2 i386 2.12~rc1-2 [161 kB]
Get: 39 http://deb.debian.org/debian bullseye/main i386 libjpeg62-turbo i386 1:2.0.6-4 [160 kB]
Get: 40 http://deb.debian.org/debian bullseye/main i386 libbrotli1 i386 1.0.9-2+b2 [286 kB]
Get: 41 http://deb.debian.org/debian bullseye/main i386 libpng16-16 i386 1.6.37-3 [303 kB]
Get: 42 http://deb.debian.org/debian bullseye/main i386 libfreetype6 i386 2.10.4+dfsg-1+deb11u1 [430 kB]
Get: 43 http://deb.debian.org/debian bullseye/main i386 fonts-dejavu-core all 2.37-2 [1069 kB]
Get: 44 http://deb.debian.org/debian bullseye/main i386 fonts-urw-base35 all 20200910-1 [6367 kB]
Get: 45 http://deb.debian.org/debian bullseye/main i386 fontconfig-config all 2.13.1-4.2 [281 kB]
Get: 46 http://deb.debian.org/debian bullseye/main i386 libfontconfig1 i386 2.13.1-4.2 [358 kB]
Get: 47 http://deb.debian.org/debian bullseye/main i386 libasound2-data all 1.2.4-1.1 [38.2 kB]
Get: 48 http://deb.debian.org/debian bullseye/main i386 libasound2 i386 1.2.4-1.1 [379 kB]
Get: 49 http://deb.debian.org/debian bullseye/main i386 libglib2.0-0 i386 2.66.8-1 [1437 kB]
Get: 50 http://deb.debian.org/debian bullseye/main i386 libgraphite2-3 i386 1.3.14-1 [84.0 kB]
Get: 51 http://deb.debian.org/debian bullseye/main i386 libharfbuzz0b i386 2.7.4-1 [1490 kB]
Get: 52 http://deb.debian.org/debian bullseye/main i386 libpcsclite1 i386 1.9.1-1 [61.7 kB]
Get: 53 http://deb.debian.org/debian bullseye/main i386 openjdk-11-jre-headless i386 11.0.20+8-1~deb11u1 [38.2 MB]
Get: 54 http://deb.debian.org/debian bullseye/main i386 default-jre-headless i386 2:1.11-72 [10.9 kB]
Get: 55 http://deb.debian.org/debian bullseye/main i386 ant all 1.10.9-4 [2118 kB]
Get: 56 http://deb.debian.org/debian bullseye/main i386 libsigsegv2 i386 2.13-1 [35.1 kB]
Get: 57 http://deb.debian.org/debian bullseye/main i386 m4 i386 1.4.18-5 [206 kB]
Get: 58 http://deb.debian.org/debian bullseye/main i386 autoconf all 2.69-14 [313 kB]
Get: 59 http://deb.debian.org/debian bullseye/main i386 autotools-dev all 20180224.1+nmu1 [77.1 kB]
Get: 60 http://deb.debian.org/debian bullseye/main i386 automake all 1:1.16.3-2 [814 kB]
Get: 61 http://deb.debian.org/debian bullseye/main i386 autopoint all 0.21-4 [510 kB]
Get: 62 http://deb.debian.org/debian bullseye/main i386 cup all 0.11b-20160615-2 [155 kB]
Get: 63 http://deb.debian.org/debian bullseye/main i386 libdebhelper-perl all 13.3.4 [189 kB]
Get: 64 http://deb.debian.org/debian bullseye/main i386 libtool all 2.4.6-15 [513 kB]
Get: 65 http://deb.debian.org/debian bullseye/main i386 dh-autoreconf all 20 [17.1 kB]
Get: 66 http://deb.debian.org/debian bullseye/main i386 libarchive-zip-perl all 1.68-1 [104 kB]
Get: 67 http://deb.debian.org/debian bullseye/main i386 libsub-override-perl all 0.09-2 [10.2 kB]
Get: 68 http://deb.debian.org/debian bullseye/main i386 libfile-stripnondeterminism-perl all 1.12.0-1 [26.3 kB]
Get: 69 http://deb.debian.org/debian bullseye/main i386 dh-strip-nondeterminism all 1.12.0-1 [15.4 kB]
Get: 70 http://deb.debian.org/debian bullseye/main i386 libelf1 i386 0.183-1 [171 kB]
Get: 71 http://deb.debian.org/debian bullseye/main i386 dwz i386 0.13+20210201-1 [179 kB]
Get: 72 http://deb.debian.org/debian bullseye/main i386 libicu67 i386 67.1-7 [8775 kB]
Get: 73 http://deb.debian.org/debian bullseye/main i386 libxml2 i386 2.9.10+dfsg-6.7+deb11u4 [728 kB]
Get: 74 http://deb.debian.org/debian bullseye/main i386 gettext i386 0.21-4 [1322 kB]
Get: 75 http://deb.debian.org/debian bullseye/main i386 intltool-debian all 0.35.0+20060710.5 [26.8 kB]
Get: 76 http://deb.debian.org/debian bullseye/main i386 po-debconf all 1.0.21+nmu1 [248 kB]
Get: 77 http://deb.debian.org/debian bullseye/main i386 debhelper all 13.3.4 [1049 kB]
Get: 78 http://deb.debian.org/debian bullseye/main i386 libglvnd0 i386 1.3.2-1 [44.1 kB]
Get: 79 http://deb.debian.org/debian bullseye/main i386 libxau6 i386 1:1.0.9-1 [20.0 kB]
Get: 80 http://deb.debian.org/debian bullseye/main i386 libmd0 i386 1.0.3-3 [28.9 kB]
Get: 81 http://deb.debian.org/debian bullseye/main i386 libbsd0 i386 0.11.3-1+deb11u1 [111 kB]
Get: 82 http://deb.debian.org/debian bullseye/main i386 libxdmcp6 i386 1:1.1.2-3 [26.7 kB]
Get: 83 http://deb.debian.org/debian bullseye/main i386 libxcb1 i386 1.14-3 [144 kB]
Get: 84 http://deb.debian.org/debian bullseye/main i386 libx11-data all 2:1.7.2-1+deb11u1 [311 kB]
Get: 85 http://deb.debian.org/debian bullseye/main i386 libx11-6 i386 2:1.7.2-1+deb11u1 [796 kB]
Get: 86 http://deb.debian.org/debian bullseye/main i386 libdrm-common all 2.4.104-1 [14.9 kB]
Get: 87 http://deb.debian.org/debian bullseye/main i386 libdrm2 i386 2.4.104-1 [44.3 kB]
Get: 88 http://deb.debian.org/debian bullseye/main i386 libglapi-mesa i386 20.3.5-1 [71.9 kB]
Get: 89 http://deb.debian.org/debian bullseye/main i386 libx11-xcb1 i386 2:1.7.2-1+deb11u1 [203 kB]
Get: 90 http://deb.debian.org/debian bullseye/main i386 libxcb-dri2-0 i386 1.14-3 [103 kB]
Get: 91 http://deb.debian.org/debian bullseye/main i386 libxcb-dri3-0 i386 1.14-3 [103 kB]
Get: 92 http://deb.debian.org/debian bullseye/main i386 libxcb-glx0 i386 1.14-3 [120 kB]
Get: 93 http://deb.debian.org/debian bullseye/main i386 libxcb-present0 i386 1.14-3 [101 kB]
Get: 94 http://deb.debian.org/debian bullseye/main i386 libxcb-shm0 i386 1.14-3 [102 kB]
Get: 95 http://deb.debian.org/debian bullseye/main i386 libxcb-sync1 i386 1.14-3 [105 kB]
Get: 96 http://deb.debian.org/debian bullseye/main i386 libxcb-xfixes0 i386 1.14-3 [105 kB]
Get: 97 http://deb.debian.org/debian bullseye/main i386 libxdamage1 i386 1:1.1.5-2 [15.9 kB]
Get: 98 http://deb.debian.org/debian bullseye/main i386 libxext6 i386 2:1.3.3-1.1 [55.2 kB]
Get: 99 http://deb.debian.org/debian bullseye/main i386 libxfixes3 i386 1:5.0.3-2 [22.6 kB]
Get: 100 http://deb.debian.org/debian bullseye/main i386 libxshmfence1 i386 1.3-1 [8976 B]
Get: 101 http://deb.debian.org/debian bullseye/main i386 libxxf86vm1 i386 1:1.1.4-1+b2 [21.7 kB]
Get: 102 http://deb.debian.org/debian bullseye/main i386 libdrm-amdgpu1 i386 2.4.104-1 [31.5 kB]
Get: 103 http://deb.debian.org/debian bullseye/main i386 libpciaccess0 i386 0.16-1 [55.7 kB]
Get: 104 http://deb.debian.org/debian bullseye/main i386 libdrm-intel1 i386 2.4.104-1 [74.5 kB]
Get: 105 http://deb.debian.org/debian bullseye/main i386 libdrm-nouveau2 i386 2.4.104-1 [28.5 kB]
Get: 106 http://deb.debian.org/debian bullseye/main i386 libdrm-radeon1 i386 2.4.104-1 [31.4 kB]
Get: 107 http://deb.debian.org/debian bullseye/main i386 libedit2 i386 3.1-20191231-2+b1 [101 kB]
Get: 108 http://deb.debian.org/debian bullseye/main i386 libz3-4 i386 4.8.10-1 [7737 kB]
Get: 109 http://deb.debian.org/debian bullseye/main i386 libllvm11 i386 1:11.0.1-2 [17.7 MB]
Get: 110 http://deb.debian.org/debian bullseye/main i386 libsensors-config all 1:3.6.0-7 [32.3 kB]
Get: 111 http://deb.debian.org/debian bullseye/main i386 libsensors5 i386 1:3.6.0-7 [53.2 kB]
Get: 112 http://deb.debian.org/debian bullseye/main i386 libvulkan1 i386 1.2.162.0-1 [110 kB]
Get: 113 http://deb.debian.org/debian bullseye/main i386 libgl1-mesa-dri i386 20.3.5-1 [9948 kB]
Get: 114 http://deb.debian.org/debian bullseye/main i386 libglx-mesa0 i386 20.3.5-1 [195 kB]
Get: 115 http://deb.debian.org/debian bullseye/main i386 libglx0 i386 1.3.2-1 [39.1 kB]
Get: 116 http://deb.debian.org/debian bullseye/main i386 libgl1 i386 1.3.2-1 [83.6 kB]
Get: 117 http://deb.debian.org/debian bullseye/main i386 libgif7 i386 5.1.9-2 [46.5 kB]
Get: 118 http://deb.debian.org/debian bullseye/main i386 libxi6 i386 2:1.7.10-1 [85.1 kB]
Get: 119 http://deb.debian.org/debian bullseye/main i386 libxrender1 i386 1:0.9.10-1 [34.1 kB]
Get: 120 http://deb.debian.org/debian bullseye/main i386 x11-common all 1:7.7+22 [252 kB]
Get: 121 http://deb.debian.org/debian bullseye/main i386 libxtst6 i386 2:1.2.3-1 [28.3 kB]
Get: 122 http://deb.debian.org/debian bullseye/main i386 openjdk-11-jre i386 11.0.20+8-1~deb11u1 [195 kB]
Get: 123 http://deb.debian.org/debian bullseye/main i386 default-jre i386 2:1.11-72 [1044 B]
Get: 124 http://deb.debian.org/debian bullseye/main i386 openjdk-11-jdk-headless i386 11.0.20+8-1~deb11u1 [70.9 MB]
Get: 125 http://deb.debian.org/debian bullseye/main i386 default-jdk-headless i386 2:1.11-72 [1100 B]
Get: 126 http://deb.debian.org/debian bullseye/main i386 openjdk-11-jdk i386 11.0.20+8-1~deb11u1 [2052 kB]
Get: 127 http://deb.debian.org/debian bullseye/main i386 default-jdk i386 2:1.11-72 [1052 B]
Get: 128 http://deb.debian.org/debian bullseye/main i386 fonts-lmodern all 2.004.5-6.1 [4540 kB]
Get: 129 http://deb.debian.org/debian bullseye/main i386 libgs9-common all 9.53.3~dfsg-7+deb11u6 [735 kB]
Get: 130 http://deb.debian.org/debian bullseye/main i386 libidn11 i386 1.33-3 [117 kB]
Get: 131 http://deb.debian.org/debian bullseye/main i386 libijs-0.35 i386 0.35-15 [16.9 kB]
Get: 132 http://deb.debian.org/debian bullseye/main i386 libjbig2dec0 i386 0.19-2 [69.9 kB]
Get: 133 http://deb.debian.org/debian bullseye/main i386 libopenjp2-7 i386 2.4.0-3 [179 kB]
Get: 134 http://deb.debian.org/debian bullseye/main i386 libpaper1 i386 1.1.28+b1 [21.7 kB]
Get: 135 http://deb.debian.org/debian bullseye/main i386 libdeflate0 i386 1.7-1 [48.4 kB]
Get: 136 http://deb.debian.org/debian bullseye/main i386 libjbig0 i386 2.1-3.1+b2 [31.5 kB]
Get: 137 http://deb.debian.org/debian bullseye/main i386 libwebp6 i386 0.6.1-2.1+deb11u2 [269 kB]
Get: 138 http://deb.debian.org/debian bullseye/main i386 libtiff5 i386 4.2.0-1+deb11u4 [305 kB]
Get: 139 http://deb.debian.org/debian bullseye/main i386 libgs9 i386 9.53.3~dfsg-7+deb11u6 [2365 kB]
Get: 140 http://deb.debian.org/debian bullseye/main i386 ghostscript i386 9.53.3~dfsg-7+deb11u6 [98.4 kB]
Get: 141 http://deb.debian.org/debian bullseye/main i386 jflex all 1.7.0-2 [1702 kB]
Get: 142 http://deb.debian.org/debian bullseye/main i386 libapache-pom-java all 18-1 [4676 B]
Get: 143 http://deb.debian.org/debian bullseye/main i386 libpixman-1-0 i386 0.40.0-1.1~deb11u1 [545 kB]
Get: 144 http://deb.debian.org/debian bullseye/main i386 libxcb-render0 i386 1.14-3 [112 kB]
Get: 145 http://deb.debian.org/debian bullseye/main i386 libcairo2 i386 1.16.0-5 [746 kB]
Get: 146 http://deb.debian.org/debian bullseye/main i386 libcommons-parent-java all 43-1 [10.8 kB]
Get: 147 http://deb.debian.org/debian bullseye/main i386 libcommons-logging-java all 1.2-2 [62.2 kB]
Get: 148 http://deb.debian.org/debian bullseye/main i386 libfontbox-java all 1:1.8.16-2 [211 kB]
Get: 149 http://deb.debian.org/debian bullseye/main i386 libice6 i386 2:1.0.10-1 [60.8 kB]
Get: 150 http://deb.debian.org/debian bullseye/main i386 libkpathsea6 i386 2020.20200327.54578-7+deb11u1 [176 kB]
Get: 151 http://deb.debian.org/debian bullseye/main i386 libpaper-utils i386 1.1.28+b1 [18.6 kB]
Get: 152 http://deb.debian.org/debian bullseye/main i386 libpdfbox-java all 1:1.8.16-2 [5205 kB]
Get: 153 http://deb.debian.org/debian bullseye/main i386 libptexenc1 i386 2020.20200327.54578-7+deb11u1 [65.2 kB]
Get: 154 http://deb.debian.org/debian bullseye/main i386 libsm6 i386 2:1.2.3-1 [35.7 kB]
Get: 155 http://deb.debian.org/debian bullseye/main i386 libsynctex2 i386 2020.20200327.54578-7+deb11u1 [86.1 kB]
Get: 156 http://deb.debian.org/debian bullseye/main i386 libteckit0 i386 2.5.10+ds1-3 [277 kB]
Get: 157 http://deb.debian.org/debian bullseye/main i386 libtexlua53 i386 2020.20200327.54578-7+deb11u1 [146 kB]
Get: 158 http://deb.debian.org/debian bullseye/main i386 libtexluajit2 i386 2020.20200327.54578-7+deb11u1 [284 kB]
Get: 159 http://deb.debian.org/debian bullseye/main i386 libxt6 i386 1:1.2.0-1 [195 kB]
Get: 160 http://deb.debian.org/debian bullseye/main i386 libxmu6 i386 2:1.1.2-2+b3 [62.8 kB]
Get: 161 http://deb.debian.org/debian bullseye/main i386 libxpm4 i386 1:3.5.12-1.1~deb11u1 [51.2 kB]
Get: 162 http://deb.debian.org/debian bullseye/main i386 libxaw7 i386 2:1.0.13-1.1 [210 kB]
Get: 163 http://deb.debian.org/debian bullseye/main i386 libzzip-0-13 i386 0.13.62-3.3+deb11u1 [57.7 kB]
Get: 164 http://deb.debian.org/debian bullseye/main i386 preview-latex-style all 12.2-1 [201 kB]
Get: 165 http://deb.debian.org/debian bullseye/main i386 t1utils i386 1.41-4 [62.3 kB]
Get: 166 http://deb.debian.org/debian bullseye/main i386 texlive-binaries i386 2020.20200327.54578-7+deb11u1 [10.1 MB]
Get: 167 http://deb.debian.org/debian bullseye/main i386 xdg-utils all 1.1.3-4.1 [75.5 kB]
Get: 168 http://deb.debian.org/debian bullseye/main i386 texlive-base all 2020.20210202-3 [20.8 MB]
Get: 169 http://deb.debian.org/debian bullseye/main i386 texlive-latex-base all 2020.20210202-3 [1120 kB]
Get: 170 http://deb.debian.org/debian bullseye/main i386 texlive-latex-recommended all 2020.20210202-3 [14.5 MB]
Get: 171 http://deb.debian.org/debian bullseye/main i386 texlive-pictures all 2020.20210202-3 [6743 kB]
Get: 172 http://deb.debian.org/debian bullseye/main i386 texlive-latex-extra all 2020.20210202-3 [13.7 MB]
Fetched 282 MB in 5s (59.0 MB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package bsdextrautils.
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Preparing to unpack .../0-bsdextrautils_2.36.1-8+deb11u1_i386.deb ...
Unpacking bsdextrautils (2.36.1-8+deb11u1) ...
Selecting previously unselected package libuchardet0:i386.
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Unpacking libuchardet0:i386 (0.0.7-1) ...
Selecting previously unselected package groff-base.
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Unpacking groff-base (1.22.4-6) ...
Selecting previously unselected package libpipeline1:i386.
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Unpacking libpipeline1:i386 (1.5.3-1) ...
Selecting previously unselected package man-db.
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Unpacking man-db (2.9.4-2) ...
Selecting previously unselected package poppler-data.
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Unpacking poppler-data (0.4.10-1) ...
Selecting previously unselected package libpython3.9-minimal:i386.
Preparing to unpack .../6-libpython3.9-minimal_3.9.2-1_i386.deb ...
Unpacking libpython3.9-minimal:i386 (3.9.2-1) ...
Selecting previously unselected package libexpat1:i386.
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Unpacking libexpat1:i386 (2.2.10-2+deb11u5) ...
Selecting previously unselected package python3.9-minimal.
Preparing to unpack .../8-python3.9-minimal_3.9.2-1_i386.deb ...
Unpacking python3.9-minimal (3.9.2-1) ...
Setting up libpython3.9-minimal:i386 (3.9.2-1) ...
Setting up libexpat1:i386 (2.2.10-2+deb11u5) ...
Setting up python3.9-minimal (3.9.2-1) ...
Selecting previously unselected package python3-minimal.
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Preparing to unpack .../0-python3-minimal_3.9.2-3_i386.deb ...
Unpacking python3-minimal (3.9.2-3) ...
Selecting previously unselected package media-types.
Preparing to unpack .../1-media-types_4.0.0_all.deb ...
Unpacking media-types (4.0.0) ...
Selecting previously unselected package tzdata.
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Unpacking tzdata (2021a-1+deb11u10) ...
Selecting previously unselected package libmpdec3:i386.
Preparing to unpack .../3-libmpdec3_2.5.1-1_i386.deb ...
Unpacking libmpdec3:i386 (2.5.1-1) ...
Selecting previously unselected package readline-common.
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Unpacking readline-common (8.1-1) ...
Selecting previously unselected package libreadline8:i386.
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Unpacking libreadline8:i386 (8.1-1) ...
Selecting previously unselected package libpython3.9-stdlib:i386.
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Unpacking libpython3.9-stdlib:i386 (3.9.2-1) ...
Selecting previously unselected package python3.9.
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Unpacking python3.9 (3.9.2-1) ...
Selecting previously unselected package libpython3-stdlib:i386.
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Unpacking libpython3-stdlib:i386 (3.9.2-3) ...
Setting up python3-minimal (3.9.2-3) ...
Selecting previously unselected package python3.
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Preparing to unpack .../000-python3_3.9.2-3_i386.deb ...
Unpacking python3 (3.9.2-3) ...
Selecting previously unselected package sensible-utils.
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Unpacking sensible-utils (0.0.14) ...
Selecting previously unselected package ucf.
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Moving old data out of the way
Unpacking ucf (3.0043) ...
Selecting previously unselected package tex-common.
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Unpacking tex-common (6.16) ...
Selecting previously unselected package openssl.
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Unpacking openssl (1.1.1w-0+deb11u1) ...
Selecting previously unselected package ca-certificates.
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Unpacking ca-certificates (20210119) ...
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Unpacking libmagic-mgc (1:5.39-3+deb11u1) ...
Selecting previously unselected package libmagic1:i386.
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Unpacking libmagic1:i386 (1:5.39-3+deb11u1) ...
Selecting previously unselected package file.
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Unpacking file (1:5.39-3+deb11u1) ...
Selecting previously unselected package gettext-base.
Preparing to unpack .../009-gettext-base_0.21-4_i386.deb ...
Unpacking gettext-base (0.21-4) ...
Selecting previously unselected package libnspr4:i386.
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Unpacking libnspr4:i386 (2:4.29-1) ...
Selecting previously unselected package libnss3:i386.
Preparing to unpack .../011-libnss3_2%3a3.61-1+deb11u3_i386.deb ...
Unpacking libnss3:i386 (2:3.61-1+deb11u3) ...
Selecting previously unselected package ca-certificates-java.
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Unpacking ca-certificates-java (20190909+deb11u1) ...
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Unpacking java-common (0.72) ...
Selecting previously unselected package libavahi-common-data:i386.
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Unpacking libavahi-common-data:i386 (0.8-5+deb11u2) ...
Selecting previously unselected package libavahi-common3:i386.
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Unpacking libavahi-common3:i386 (0.8-5+deb11u2) ...
Selecting previously unselected package libdbus-1-3:i386.
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Unpacking libcups2:i386 (2.3.3op2-3+deb11u6) ...
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Unpacking liblcms2-2:i386 (2.12~rc1-2) ...
Selecting previously unselected package libjpeg62-turbo:i386.
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Unpacking libjpeg62-turbo:i386 (1:2.0.6-4) ...
Selecting previously unselected package libbrotli1:i386.
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Unpacking libbrotli1:i386 (1.0.9-2+b2) ...
Selecting previously unselected package libpng16-16:i386.
Preparing to unpack .../022-libpng16-16_1.6.37-3_i386.deb ...
Unpacking libpng16-16:i386 (1.6.37-3) ...
Selecting previously unselected package libfreetype6:i386.
Preparing to unpack .../023-libfreetype6_2.10.4+dfsg-1+deb11u1_i386.deb ...
Unpacking libfreetype6:i386 (2.10.4+dfsg-1+deb11u1) ...
Selecting previously unselected package fonts-dejavu-core.
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Unpacking fonts-dejavu-core (2.37-2) ...
Selecting previously unselected package fonts-urw-base35.
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Setting up bsdextrautils (2.36.1-8+deb11u1) ...
update-alternatives: using /usr/bin/write.ul to provide /usr/bin/write (write) in auto mode
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invoke-rc.d: could not determine current runlevel
Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix.
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Current default time zone: 'Etc/UTC'
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Setting up openssl (1.1.1w-0+deb11u1) ...
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update-alternatives: using /usr/bin/xdg-open to provide /usr/bin/open (open) in auto mode
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Setting up libedit2:i386 (3.1-20191231-2+b1) ...
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Setting up intltool-debian (0.35.0+20060710.5) ...
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Setting up ca-certificates (20210119) ...
Updating certificates in /etc/ssl/certs...
129 added, 0 removed; done.
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Setting up libsm6:i386 (2:1.2.3-1) ...
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Setting up libpython3.9-stdlib:i386 (3.9.2-1) ...
Setting up libpython3-stdlib:i386 (3.9.2-3) ...
Setting up libdrm-amdgpu1:i386 (2.4.104-1) ...
Setting up automake (1:1.16.3-2) ...
update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode
Setting up libxcb-dri3-0:i386 (1.14-3) ...
Setting up libpaper1:i386 (1.1.28+b1) ...
Creating config file /etc/papersize with new version
Setting up libx11-xcb1:i386 (2:1.7.2-1+deb11u1) ...
Setting up libdrm-nouveau2:i386 (2.4.104-1) ...
Setting up libxdamage1:i386 (1:1.1.5-2) ...
Setting up libxpm4:i386 (1:3.5.12-1.1~deb11u1) ...
Setting up libxrender1:i386 (1:0.9.10-1) ...
Setting up libdrm-radeon1:i386 (2.4.104-1) ...
Setting up fontconfig-config (2.13.1-4.2) ...
Setting up po-debconf (1.0.21+nmu1) ...
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Setting up libgl1-mesa-dri:i386 (20.3.5-1) ...
Setting up libxext6:i386 (2:1.3.3-1.1) ...
Setting up libpaper-utils (1.1.28+b1) ...
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Not building database; man-db/auto-update is not 'true'.
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Setting up dh-autoreconf (20) ...
Setting up tex-common (6.16) ...
update-language: texlive-base not installed and configured, doing nothing!
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Setting up libxt6:i386 (1:1.2.0-1) ...
Setting up libcups2:i386 (2.3.3op2-3+deb11u6) ...
Setting up libfontconfig1:i386 (2.13.1-4.2) ...
Setting up python3.9 (3.9.2-1) ...
Setting up libxmu6:i386 (2:1.1.2-2+b3) ...
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Setting up libgs9:i386 (9.53.3~dfsg-7+deb11u6) ...
Setting up libxi6:i386 (2:1.7.10-1) ...
Setting up libglx0:i386 (1.3.2-1) ...
Setting up libxtst6:i386 (2:1.2.3-1) ...
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Setting up python3 (3.9.2-3) ...
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Setting up ghostscript (9.53.3~dfsg-7+deb11u6) ...
Setting up libcairo2:i386 (1.16.0-5) ...
Setting up libgl1:i386 (1.3.2-1) ...
Setting up texlive-binaries (2020.20200327.54578-7+deb11u1) ...
update-alternatives: using /usr/bin/xdvi-xaw to provide /usr/bin/xdvi.bin (xdvi.bin) in auto mode
update-alternatives: using /usr/bin/bibtex.original to provide /usr/bin/bibtex (bibtex) in auto mode
Setting up texlive-base (2020.20210202-3) ...
tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps
tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg
tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper
tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/tex-ini-files/pdftexconfig.tex
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Setting up default-jre-headless (2:1.11-72) ...
Setting up openjdk-11-jre-headless:i386 (11.0.20+8-1~deb11u1) ...
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/java to provide /usr/bin/java (java) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jjs to provide /usr/bin/jjs (jjs) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/keytool to provide /usr/bin/keytool (keytool) in auto mode
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update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/rmiregistry to provide /usr/bin/rmiregistry (rmiregistry) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/pack200 to provide /usr/bin/pack200 (pack200) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/unpack200 to provide /usr/bin/unpack200 (unpack200) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/lib/jexec to provide /usr/bin/jexec (jexec) in auto mode
OpenJDK Client VM warning: Ignoring option PermSize; support was removed in 8.0
Setting up openjdk-11-jre:i386 (11.0.20+8-1~deb11u1) ...
Setting up openjdk-11-jdk-headless:i386 (11.0.20+8-1~deb11u1) ...
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jar to provide /usr/bin/jar (jar) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jarsigner to provide /usr/bin/jarsigner (jarsigner) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/javac to provide /usr/bin/javac (javac) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/javadoc to provide /usr/bin/javadoc (javadoc) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/javap to provide /usr/bin/javap (javap) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jcmd to provide /usr/bin/jcmd (jcmd) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jdb to provide /usr/bin/jdb (jdb) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jdeprscan to provide /usr/bin/jdeprscan (jdeprscan) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jdeps to provide /usr/bin/jdeps (jdeps) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jfr to provide /usr/bin/jfr (jfr) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jimage to provide /usr/bin/jimage (jimage) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jinfo to provide /usr/bin/jinfo (jinfo) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jlink to provide /usr/bin/jlink (jlink) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jmap to provide /usr/bin/jmap (jmap) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jmod to provide /usr/bin/jmod (jmod) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jps to provide /usr/bin/jps (jps) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jrunscript to provide /usr/bin/jrunscript (jrunscript) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jshell to provide /usr/bin/jshell (jshell) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jstack to provide /usr/bin/jstack (jstack) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jstat to provide /usr/bin/jstat (jstat) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jstatd to provide /usr/bin/jstatd (jstatd) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/rmic to provide /usr/bin/rmic (rmic) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/serialver to provide /usr/bin/serialver (serialver) in auto mode
update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jhsdb to provide /usr/bin/jhsdb (jhsdb) in auto mode
Setting up default-jre (2:1.11-72) ...
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update-alternatives: using /usr/lib/jvm/java-11-openjdk-i386/bin/jconsole to provide /usr/bin/jconsole (jconsole) in auto mode
Setting up ca-certificates-java (20190909+deb11u1) ...
head: cannot open '/etc/ssl/certs/java/cacerts' for reading: No such file or directory
Adding debian:DigiCert_Global_Root_G3.pem
Adding debian:SwissSign_Silver_CA_-_G2.pem
Adding debian:Comodo_AAA_Services_root.pem
Adding debian:DST_Root_CA_X3.pem
Adding debian:Go_Daddy_Root_Certificate_Authority_-_G2.pem
Adding debian:DigiCert_Global_Root_G2.pem
Adding debian:QuoVadis_Root_CA.pem
Adding debian:QuoVadis_Root_CA_1_G3.pem
Adding debian:Buypass_Class_3_Root_CA.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2011.pem
Adding debian:GTS_Root_R1.pem
Adding debian:emSign_ECC_Root_CA_-_G3.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R4.pem
Adding debian:Security_Communication_Root_CA.pem
Adding debian:Entrust.net_Premium_2048_Secure_Server_CA.pem
Adding debian:ePKI_Root_Certification_Authority.pem
Adding debian:IdenTrust_Commercial_Root_CA_1.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_RSA_R2.pem
Adding debian:EC-ACC.pem
Adding debian:e-Szigno_Root_CA_2017.pem
Adding debian:Baltimore_CyberTrust_Root.pem
Adding debian:GDCA_TrustAUTH_R5_ROOT.pem
Adding debian:Microsoft_ECC_Root_Certificate_Authority_2017.pem
Adding debian:Certigna.pem
Adding debian:COMODO_RSA_Certification_Authority.pem
Adding debian:USERTrust_ECC_Certification_Authority.pem
Adding debian:UCA_Global_G2_Root.pem
Adding debian:Amazon_Root_CA_2.pem
Adding debian:AC_RAIZ_FNMT-RCM.pem
Adding debian:Entrust_Root_Certification_Authority_-_G2.pem
Adding debian:ISRG_Root_X1.pem
Adding debian:Security_Communication_RootCA2.pem
Adding debian:TWCA_Global_Root_CA.pem
Adding debian:Starfield_Root_Certificate_Authority_-_G2.pem
Adding debian:TrustCor_RootCert_CA-1.pem
Adding debian:AffirmTrust_Premium_ECC.pem
Adding debian:Autoridad_de_Certificacion_Firmaprofesional_CIF_A62634068.pem
Adding debian:Amazon_Root_CA_3.pem
Adding debian:COMODO_Certification_Authority.pem
Adding debian:Amazon_Root_CA_4.pem
Adding debian:GlobalSign_Root_CA_-_R2.pem
Adding debian:NetLock_Arany_=Class_Gold=_FÅ‘tanúsÃtvány.pem
Adding debian:Entrust_Root_Certification_Authority.pem
Adding debian:GlobalSign_Root_CA_-_R3.pem
Adding debian:DigiCert_Assured_ID_Root_G2.pem
Adding debian:GlobalSign_Root_CA_-_R6.pem
Adding debian:SSL.com_EV_Root_Certification_Authority_ECC.pem
Adding debian:AffirmTrust_Premium.pem
Adding debian:Staat_der_Nederlanden_Root_CA_-_G3.pem
Adding debian:Izenpe.com.pem
Adding debian:certSIGN_ROOT_CA.pem
Adding debian:Certum_Trusted_Network_CA.pem
Adding debian:Trustwave_Global_ECC_P256_Certification_Authority.pem
Adding debian:USERTrust_RSA_Certification_Authority.pem
Adding debian:TWCA_Root_Certification_Authority.pem
Adding debian:NAVER_Global_Root_Certification_Authority.pem
Adding debian:AffirmTrust_Networking.pem
Adding debian:T-TeleSec_GlobalRoot_Class_3.pem
Adding debian:TrustCor_RootCert_CA-2.pem
Adding debian:ACCVRAIZ1.pem
Adding debian:OISTE_WISeKey_Global_Root_GB_CA.pem
Adding debian:XRamp_Global_CA_Root.pem
Adding debian:SSL.com_Root_Certification_Authority_ECC.pem
Adding debian:TUBITAK_Kamu_SM_SSL_Kok_Sertifikasi_-_Surum_1.pem
Adding debian:AffirmTrust_Commercial.pem
Adding debian:SwissSign_Gold_CA_-_G2.pem
Adding debian:QuoVadis_Root_CA_2_G3.pem
Adding debian:GeoTrust_Primary_Certification_Authority_-_G2.pem
Adding debian:GlobalSign_Root_CA.pem
Adding debian:CA_Disig_Root_R2.pem
Adding debian:Go_Daddy_Class_2_CA.pem
Adding debian:SZAFIR_ROOT_CA2.pem
Adding debian:CFCA_EV_ROOT.pem
Adding debian:emSign_Root_CA_-_C1.pem
Adding debian:DigiCert_Global_Root_CA.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_RootCA_2015.pem
Adding debian:QuoVadis_Root_CA_3.pem
Adding debian:Network_Solutions_Certificate_Authority.pem
Adding debian:GlobalSign_ECC_Root_CA_-_R5.pem
Adding debian:SSL.com_Root_Certification_Authority_RSA.pem
Adding debian:emSign_ECC_Root_CA_-_C3.pem
Adding debian:QuoVadis_Root_CA_2.pem
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Adding debian:Microsec_e-Szigno_Root_CA_2009.pem
Adding debian:Hellenic_Academic_and_Research_Institutions_ECC_RootCA_2015.pem
Adding debian:COMODO_ECC_Certification_Authority.pem
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Adding debian:Hongkong_Post_Root_CA_1.pem
Adding debian:Chambers_of_Commerce_Root_-_2008.pem
Adding debian:DigiCert_Assured_ID_Root_CA.pem
Adding debian:T-TeleSec_GlobalRoot_Class_2.pem
Adding debian:Buypass_Class_2_Root_CA.pem
Adding debian:TeliaSonera_Root_CA_v1.pem
Adding debian:Trustis_FPS_Root_CA.pem
Adding debian:TrustCor_ECA-1.pem
Adding debian:Entrust_Root_Certification_Authority_-_G4.pem
Adding debian:Starfield_Class_2_CA.pem
Adding debian:Microsoft_RSA_Root_Certificate_Authority_2017.pem
Adding debian:Hongkong_Post_Root_CA_3.pem
Adding debian:D-TRUST_Root_Class_3_CA_2_EV_2009.pem
Adding debian:Atos_TrustedRoot_2011.pem
Adding debian:Global_Chambersign_Root_-_2008.pem
Adding debian:IdenTrust_Public_Sector_Root_CA_1.pem
Adding debian:E-Tugra_Certification_Authority.pem
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Adding debian:D-TRUST_Root_Class_3_CA_2_2009.pem
Adding debian:Cybertrust_Global_Root.pem
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Adding debian:Starfield_Services_Root_Certificate_Authority_-_G2.pem
Adding debian:Trustwave_Global_Certification_Authority.pem
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Adding debian:GTS_Root_R3.pem
done.
Setting up cup (0.11b-20160615-2) ...
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I: Building the package
I: Running cd /build/reproducible-path/weka-3.6.14/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../weka_3.6.14-2_source.changes
dpkg-buildpackage: info: source package weka
dpkg-buildpackage: info: source version 3.6.14-2
dpkg-buildpackage: info: source distribution unstable
dpkg-buildpackage: info: source changed by Emmanuel Bourg <ebourg@apache.org>
dpkg-source --before-build .
dpkg-buildpackage: info: host architecture i386
fakeroot debian/rules clean
dh clean
dh_auto_clean
ant clean
Buildfile: /build/reproducible-path/weka-3.6.14/build.xml
init_all:
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BUILD SUCCESSFUL
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dh_clean
debian/rules build
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dh_update_autotools_config
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make[1]: Entering directory '/build/reproducible-path/weka-3.6.14'
dh_auto_build -- exejar docs
ant -Duser.name debian exejar docs
Buildfile: /build/reproducible-path/weka-3.6.14/build.xml
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compile:
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[javac] Compiling 1053 source files to /build/reproducible-path/weka-3.6.14/build/classes
[javac] warning: [options] bootstrap class path not set in conjunction with -source 6
[javac] warning: [options] source value 6 is obsolete and will be removed in a future release
[javac] warning: [options] target value 1.6 is obsolete and will be removed in a future release
[javac] warning: [options] To suppress warnings about obsolete options, use -Xlint:-options.
[javac] Note: Some input files use or override a deprecated API.
[javac] Note: Recompile with -Xlint:deprecation for details.
[javac] Note: Some input files use unchecked or unsafe operations.
[javac] Note: Recompile with -Xlint:unchecked for details.
[javac] 4 warnings
[copy] Copying 505 files to /build/reproducible-path/weka-3.6.14/build/classes
init_dist:
[mkdir] Created dir: /build/reproducible-path/weka-3.6.14/dist
exejar:
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init_all:
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docs:
[mkdir] Created dir: /build/reproducible-path/weka-3.6.14/doc
[javadoc] Generating Javadoc
[javadoc] Debian build on Java 9+ detected: Adding the --ignore-source-errors option
[javadoc] Debian build on Java 9+ detected: Adding the -Xdoclint:none option
[javadoc] Javadoc execution
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[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/associations/AprioriItemSet.java:94: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/associations/AprioriItemSet.java:116: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LFSMethods.java:144: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LFSMethods.java:144: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LFSMethods.java:329: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LFSMethods.java:329: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LFSMethods.java:658: warning - @param argument "gr" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LinearForwardSelection.java:257: warning - invalid usage of tag <
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[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LinearForwardSelection.java:274: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LinearForwardSelection.java:274: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LinearForwardSelection.java:594: warning - @param argument "d" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/LinearForwardSelection.java:737: warning - @param argument "ASEvaluator" is not a parameter name.
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[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/RandomSearch.java:385: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/RankedOutputSearch.java:69: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/Ranker.java:153: warning - invalid usage of tag <
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[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/SubsetSizeForwardSelection.java:316: warning - invalid usage of tag <
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[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/SubsetSizeForwardSelection.java:641: warning - @param argument "d" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/attributeSelection/SubsetSizeForwardSelection.java:746: warning - @param argument "ASEvaluator" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2076: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2095: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2114: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:462: warning - @param argument "forPredictionsString" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:1455: warning - @param argument "forPredictionsString" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2076: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2078: warning - invalid usage of tag &B
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2095: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2097: warning - invalid usage of tag &B
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2114: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:2116: warning - invalid usage of tag &B
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/Evaluation.java:3148: warning - @return tag cannot be used in method with void return type.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesianLogisticRegression.java:432: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesianLogisticRegression.java:432: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesianLogisticRegression.java:436: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesianLogisticRegression.java:498: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesianLogisticRegression.java:498: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesNet.java:989: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesNet.java:989: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesNet.java:990: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/BayesNet.java:990: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/DMNBtext.java:157: warning - @param argument "instances" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/DMNBtext.java:462: warning - @param argument "instance" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/blr/LaplacePriorImpl.java:137: warning - @param argument "hyperparameter" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/net/EditableBayesNet.java:1137: warning - @param argument "iNode" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/net/EditableBayesNet.java:1447: warning - @param argument "iNode" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/bayes/net/MarginCalculator.java:42: warning - @return tag cannot be used in method with void return type.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/SPegasos.java:624: warning - @param argument "instance" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/pace/PaceMatrix.java:628: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/pace/PaceMatrix.java:863: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/pace/PaceMatrix.java:941: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/pace/PaceMatrix.java:962: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/supportVector/CachedKernel.java:35: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/functions/supportVector/PrecomputedKernelMatrixKernel.java:256: warning - @param argument "value" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/meta/RegressionByDiscretization.java:526: warning - @param argument "numBins" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/JRip.java:296: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:232: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:232: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:494: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:494: warning - invalid usage of tag &
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:494: warning - invalid usage of tag <
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:510: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:559: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:644: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:696: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/rules/RuleStats.java:711: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/trees/ADTree.java:1119: warning - invalid usage of tag >
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/trees/FT.java:537: warning - @param argument "c" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/trees/LADTree.java:1319: warning - @param argument "measureName" is not a parameter name.
[javadoc] /build/reproducible-path/weka-3.6.14/src/main/java/weka/classifiers/trees/adtree/TwoWayNumericSplit.java:34: warning - invalid usage of tag <
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\OT1/cmr/m/n/10 This man-ual is li-censed un-der the GNU Gen-eral Pub-lic Li-ce
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\OT1/cmr/m/n/10 ver-sion 2. More in-for-ma-tion about this li-cense can be foun
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Chapter 1.
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\OT1/cmr/m/n/10 Any learn-ing al-go-rithm in WEKA is de-rived from the ab-strac
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Chapter 2.
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Chapter 3.
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Chapter 4.
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[]\OT1/cmr/m/n/10 Create a script, called \OT1/cmtt/m/n/10 /home/johndoe/remote
[]engine/startRemoteEngine\OT1/cmr/m/n/10 ,
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\OT1/cmr/m/n/9 server (e.g., \OT1/cmtt/m/n/9 jdbcURL=jdbc:hsqldb:hsql://dodo.co
mpany.com/experiment\OT1/cmr/m/n/9 ).
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ohndoe/weka/weka.jar \[]
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setup
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Chapter 6.
(./knowledgeflow.tex <images/knowledgeflow/knowledgeflow.eps> [89] [90]
[91] <images/knowledgeflow/components_datasources.eps>
<images/knowledgeflow/components_datasinks.eps>
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[]\OT1/cmr/m/it/10 ClassifierPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate
the per-for-mance of batch trained/tested
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[]\OT1/cmr/m/it/10 ClustererPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate t
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\OT1/cmr/m/n/10 mech-a-nism. Plu-g-ins are in-stalled in a di-rec-tory called [
][]\OT1/cmtt/m/n/10 .knowledgeFlow/plugins
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put.class[]
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) [101] [102]
Chapter 7.
(./arffviewer.tex <images/arffviewer/arffviewer_main.eps> [103]
<images/arffviewer/arffviewer_menu_file.eps>
<images/arffviewer/arffviewer_menu_edit.eps>
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Chapter 8.
(./bayesnet.tex <images/bayesnet/gui.net.eps> [109]
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\OT1/cmr/m/n/10 ent from the ADTree clas-si-fier al-go-rithm from \OT1/cmtt/m/n
/10 weka.classifiers.tree.ADTree\OT1/cmr/m/n/10 .
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[114]
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\OT1/cmr/m/sl/10 8.3. CONDITIONAL INDEPENDENCE TEST BASED STRUCTURE LEARNING \
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performed[]
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y determines[]
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ces the[]
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structure,[]
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of the[]
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atin (false).[]
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structure,[]
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[] \OT1/cmtt/m/n/10 Name of file containing network structure in BIF fo
rmat[]
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[]\OT1/cmtt/m/n/10 Scheme: weka.classifiers.bayes.BayesNet -D -B iris.xml
-Q weka.classifiers.bayes.net.search.local.K2 -- -P 2 -S BAYES -E weka.classif
iers.bayes.net.estimate.SimpleEstimator -- -A 0.5[]
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[]\OT1/cmtt/m/n/10 Relation: iris-weka.filters.unsupervised.attribute.Discr
etize-B2-M-1.0-Rfirst-last[]
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[]\OT1/cmr/m/n/10 The Gen-er-ate Net-work menu al-lows gen-er-a-tion of a com-p
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[]\OT1/cmr/m/n/10 Create a class that de-rives from \OT1/cmtt/m/n/10 weka.class
ifiers.bayes.net.search.SearchAlgorithm\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 validation based, you prob-a-bly want to de-rive from \OT1/cmtt
/m/n/10 ScoreSearchAlgorithm\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 CISearchAlgorithm \OT1/cmr/m/n/10 or \OT1/cmtt/m/n/10 CVSearch
Algorithm \OT1/cmr/m/n/10 in-stead of de-riv-ing from \OT1/cmtt/m/n/10 SearchAl
gorithm
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\OT1/cmtt/m/n/10 public void buildStructure(BayesNet bayesNet, Instances instan
ces)\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 You can ac-cess the par-entsets us-ing \OT1/cmtt/m/n/10 bayesNe
t.getParentSet(iAttribute)
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\OT1/cmtt/m/n/10 bayesNet.getParentSet(iAttribute).AddParent(iParent, instances
)
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[]\OT1/cmr/m/n/10 Alternatively, im-ple-ment \OT1/cmtt/m/n/10 public void searc
h(BayesNet bayesNet, Instances
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\OT1/cmtt/m/n/10 weka.classifiers.bayes.net.estimate.BayesNetEstimator\OT1/cmr/
m/n/10 . Let's say
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\OT1/cmtt/m/n/10 public void updateClassifier(BayesNet bayesNet, Instance insta
nce)\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 public double[] distributionForInstance(BayesNet bayesNet, Ins
tance
[148]
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\OT1/cmr/m/n/10 Use the class \OT1/cmtt/m/n/10 weka.filters.unsupervised.attrib
ute.Discretize \OT1/cmr/m/n/10 to dis-cretize
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\OT1/cmtt/m/n/10 java weka.filters.unsupervised.attribute.Discretize -B 3 -i in
file.arff
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -B -N 10 -A
9 -C
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -N 15 -A 20
-C 3
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -F alarm.xml
-M 1000
[149] [150]
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[]\OT1/cmr/m/n/10 Only leave-one-out, k-fold and cu-mu-la-tive cross-validation
are im-ple-mented.
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\OT1/cmr/m/n/10 These im-ple-men-ta-tions can be made more ef-fi-cient and othe
r cross-validation
) [151] [152] [153] [154]
Chapter 9.
(./arff.tex
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[] \OT1/cmtt/m/n/10 % (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.na
sa.gov)[]
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[] \OT1/cmtt/m/n/10 @ATTRIBUTE class {Iris-setosa,Iris-versicolor,Iris-
virginica}[]
[155] (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd) [156]
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\OT1/cmr/m/n/10 pos-si-ble val-ues: $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 nomina
l-name1$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n
/10 nominal-name2$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT
1/cmtt/m/n/10 nominal-name3$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 ,
[157] [158] [159]) [160]
Chapter 10.
(./xrff.tex [161]
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[] \OT1/cmtt/m/n/10 <!ATTLIST attribute type (numeric|date|nominal|string|r
elational) #REQUIRED>[]
[162] [163] [164]) [165] [166]
Chapter 11.
(./converters.tex [167]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.CSVSaver -i iris.arff -o iris
.csv[]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseLoader -Q "select * fro
m employee"[]
[168]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseSaver -i iris.arff -T
iris[]
) [169] [170]
Chapter 12.
(./stemmers.tex
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\OT1/cmr/m/n/10 Weka con-tains a wrap-per class for the Snow-ball (home-page: [
][][][])
[171]
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[]\OT1/cmr/m/n/10 within the String-ToWord-Vec-tor (pack-age \OT1/cmtt/m/n/10 w
eka.filters.unsupervised.attribute\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 GenericObjectEditor.props\OT1/cmr/m/n/10 /
\OT1/cmtt/m/n/10 GenericPropertiesCreator.props \OT1/cmr/m/n/10 file
) [172]
Chapter 13.
(./databases.tex
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.mssqlserver2005 \OT1/cmr/m/n/10 - MS SQL
Server 2005 ($\OML/cmm/m/it/10 >\OT1/cmr/m/n/10 =$3.4.11,
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.odbc \OT1/cmr/m/n/10 - ODBC ac-cess via
Sun's ODBC/JDBC bridge,
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[173] [174]
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\OT1/cmtt/m/n/10 jdbc:postgresql://server.my.domain:5432/MyDatabase?user=$\OML/
cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 &passwor
d=$\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$
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[176]
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[][][][]
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\OT1/cmr/m/n/10 com-mand \OT1/cmtt/m/n/10 java weka.core.SystemInfo \OT1/cmr/m/
n/10 and check whether the prop-
) [177] [178]
Chapter 14.
(./windows_databases.tex [179] [180]) [181] [182] [183] [184]
Chapter 15.
(./research.tex
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\OT1/cmr/m/n/10 ter-face it is now easy to ex-tract all the pa-per ref-er-ences
via \OT1/cmtt/m/n/10 weka.core.ClassDiscovery
[185] (./includes/get_wekatechinfo.tex [186]
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[]\OT1/cmtt/m/n/7 TECHINFOHANDLERS=`$JAVA weka.core.ClassDiscovery $TECHINFOHAN
DLER $PACKAGES | grep "\. weka" | sed s/".*weka"/weka/g`[]
)) [187] [188]
Chapter 16.
(./using_api.tex
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[189]
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\OT1/cmr/m/n/10 support-vector ma-chine clas-si-fier \OT1/cmr/m/it/10 SMO \OT1/
cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.classifiers.functions\OT1/cmr/m/n/10
)
[190]
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\OT1/cmr/m/n/10 method, it is best to have a look at the \OT1/cmtt/m/n/10 setOp
tions(String[]) \OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 getOptions()
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[]\OT1/cmr/m/n/10 A \OT1/cmtt/m/n/10 SelectedTag \OT1/cmr/m/n/10 gets con-struc
ted us-ing the ar-ray of all pos-si-ble \OT1/cmtt/m/n/10 weka.core.Tag
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[] \OT1/cmtt/m/n/10 setEvaluation(new SelectedTag(EVALUATION_CC, TAGS_EVALU
ATION));[]
[191]
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 attribute(int) \OT1/cmr/m/n/10 method. Thi
s method re-turns \OT1/cmtt/m/n/10 weka.core.Attribute
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[]\OT1/cmr/m/n/10 The \OT1/cmtt/m/n/10 DataSource \OT1/cmr/m/n/10 class (in-ner
class of the \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils
[192]
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\OT1/cmr/m/n/10 loaded into mem-ory and then pro-vided row-by-row (``pseudo-inc
remental'').
[193] [194]
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\OT1/cmr/m/n/10 The class \OT1/cmtt/m/n/10 wekaexamples.core.CreateInstances \O
T1/cmr/m/n/10 of the \OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 collectio
n[[]]
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\OT1/cmr/m/n/10 For all of the dif-fer-ent at-tribute types, WEKA uses the same
class, \OT1/cmtt/m/n/10 weka.core.Attribute\OT1/cmr/m/n/10 ,
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[]\OT1/cmtt/m/n/10 Attribute date = new Attribute("name_of_attr", "yyyy-MM-dd"
);[]
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[]\OT1/cmtt/m/n/10 Attribute string = new Attribute("name_of_attr", (FastVecto
r) null);[]
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[196]
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[]\OT1/cmtt/m/n/10 Attribute relational = new Attribute("name_of_attr", rel_st
ruct);[]
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[] \OT1/cmtt/m/n/10 Instances dataset = new Instances("Test-dataset", attribu
tes, 0);[]
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\OT1/cmr/m/n/10 to it, row by row. There are ba-si-cally two con-struc-tors of
the \OT1/cmtt/m/n/10 weka.core.Instance
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[]\OT1/cmtt/m/n/10 Instance(double weight, double[] attValues) \OT1/cmr/m/n/10
-- gen-er-ates an \OT1/cmtt/m/n/10 Instance
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[197]
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[]\OT1/cmtt/m/n/10 values[3] = data.attribute(3).addStringValue("This is a str
ing");[]
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[]\OT1/cmtt/m/n/10 Instances dataRel = new Instances(data.attribute(4).relatio
n(),0);[]
[198]
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\OT1/cmr/m/n/10 Simply gen-er-at-ing an ARFF file is achieved us-ing the static
\OT1/cmtt/m/n/10 DataGenerator.makeData
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\OT1/cmr/m/n/10 method. In or-der to write to a file, the gen-er-a-tor needs to
have a \OT1/cmtt/m/n/10 java.io.PrintWriter
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[] \OT1/cmtt/m/n/10 new java.io.BufferedWriter(new java.io.FileWriter("rdg1.ar
ff")));[]
[199]
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9.
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[]\OT1/cmr/m/n/10 Using the \OT1/cmtt/m/n/10 Randomize \OT1/cmr/m/n/10 fil-ter
(pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.instance\OT1/cmr/m/n/10 ).
[200]
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[201]
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[] \OT1/cmtt/m/n/10 remove.setInputFormat(data); // inform filter abo
ut dataset[]
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[] \OT1/cmtt/m/n/10 // **AFTER** setting
options[]
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[] \OT1/cmtt/m/n/10 Instances newData = Filter.useFilter(data, remove); // ap
ply filter[]
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\OT1/cmr/m/n/10 A com-mon trap to fall into is set-ting op-tions \OT1/cmr/bx/n/
10 af-ter \OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 setInputFormat(Instances)
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\OT1/cmr/m/n/10 with the \OT1/cmtt/m/n/10 Standardize \OT1/cmr/m/n/10 fil-ter (
pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.attribute\OT1/cmr/m/n/10 ):
[202]
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\OT1/cmr/m/n/10 like \OT1/cmtt/m/n/10 FilteredClassifier \OT1/cmr/m/n/10 (pack-
age \OT1/cmtt/m/n/10 weka.classifiers.meta\OT1/cmr/m/n/10 ), \OT1/cmtt/m/n/10 F
ilteredClusterer
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\OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.clusterers\OT1/cmr/m/n/10 ), \O
T1/cmtt/m/n/10 FilteredAssociator \OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 we
ka.associations\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 FilteredAttributeEval\OT1/cmr/m/n/10 /\OT1
/cmtt/m/n/10 FilteredSubsetEval \OT1/cmr/m/n/10 (in \OT1/cmtt/m/n/10 weka.attri
buteSelection\OT1/cmr/m/n/10 ).
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[203]
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823.
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\OT1/cmr/m/n/10 All in-cre-men-tal clas-si-fiers in WEKA im-ple-ment the in-ter
-face \OT1/cmtt/m/n/10 UpdateableClassifier
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row, by call-ing the
\OT1/cmtt/m/n/10 updateClassifier(Instance)
[204] [205]
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\OT1/cmr/m/n/10 The eval-u-a-tion step, in-clud-ing col-lec-tion of statis-tics
, is per-formed by the \OT1/cmtt/m/n/10 Evaluation
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line 890.
[206]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
[207]
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[]\OT1/cmtt/m/n/10 toClassDetailsString \OT1/cmr/m/n/10 -- out-puts TP/FP rates
, pre-ci-sion, re-call, F-measure,
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[]\OT1/cmtt/m/n/10 toCumulativeMarginDistributionString \OT1/cmr/m/n/10 -- out-
puts the cu-mu-la-tive mar-
[208]
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t line 996.
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[] \OT1/cmtt/m/n/10 Instances unlabeled = DataSource.read("/some/where/unlabe
led.arff");[]
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[] \OT1/cmtt/m/n/10 double clsLabel = tree.classifyInstance(unlabeled.insta
nce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = cls.distributionForInstance(test.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.instance(i).toString(test.classIn
dex()) + " - ");[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.classAttribute().value((int) pred
) + " - ");[]
[209]
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.
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[]\OT1/cmr/m/it/10 build the model \OT1/cmr/m/n/10 with train-ing data -- call-
ing the \OT1/cmtt/m/n/10 buildClusterer(Instances)
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\OT1/cmr/m/n/10 Incremental clus-ter-ers in WEKA im-ple-ment the in-ter-face \O
T1/cmtt/m/n/10 UpdateableClusterer
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row by call-ing the
the \OT1/cmtt/m/n/10 updateClusterer(Instance)
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[211] [212]
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[] \OT1/cmtt/m/n/10 System.out.println(ClusterEvaluation.evaluateClusterer(new
EM(), options));[]
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[] \OT1/cmtt/m/n/10 DensityBasedClusterer clusterer = new ... // the clust
erer to evaluate[]
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[] \OT1/cmtt/m/n/10 new Random(1)); // and rando
m number generator[]
[213]
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[] \OT1/cmtt/m/n/10 filter.setAttributeIndices("" + (data.classIndex() + 1)
);[]
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[] \OT1/cmtt/m/n/10 Instances dataClusterer = Filter.useFilter(data, filter
);[]
[214]
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[]\OT1/cmtt/m/n/10 clusterInstance(Instance) \OT1/cmr/m/n/10 -- de-ter-mines th
e clus-ter the \OT1/cmtt/m/n/10 Instance \OT1/cmr/m/n/10 would
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[] \OT1/cmtt/m/n/10 int cluster = clusterer.clusterInstance(dataset2.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = clusterer.distributionForInstance(datas
et2.instance(i));[]
[215]
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[]\OT1/cmr/m/it/10 single at-tribute eval-u-a-tors \OT1/cmr/m/n/10 -- per-form
eval-u-a-tions on sin-gle at-tributes. These
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[216]
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[] \OT1/cmtt/m/n/10 AttributeSelectedClassifier classifier = new AttributeSel
ectedClassifier();[]
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[] \OT1/cmtt/m/n/10 evaluation.crossValidateModel(classifier, data, 10, new R
andom(1));[]
[217]
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\OT1/cmr/m/n/10 train-ing a clas-si-fier, then the fil-ter ap-proach is the rig
ht one. The \OT1/cmtt/m/n/10 AttributeSelection
[218] [219]
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1459.
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.
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\OT1/cmr/m/n/10 ing the data or use an ex-plicit con-verter (all savers are lo-
cated in the \OT1/cmtt/m/n/10 weka.core.converters
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[]\OT1/cmr/m/n/10 Use the \OT1/cmtt/m/n/10 DataSink \OT1/cmr/m/n/10 class (in-n
er class of \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils\OT1/cmr/m/n/10
),
[220] [221]
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.
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\OT1/cmr/m/n/10 tions, us-ing the \OT1/cmtt/m/n/10 ThresholdCurve \OT1/cmr/m/n/
10 class (pack-age \OT1/cmtt/m/n/10 weka.classifiers.evaluation\OT1/cmr/m/n/10
).
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\OT1/cmr/m/n/10 in-stance of the \OT1/cmtt/m/n/10 ThresholdVisualizePanel \OT1/
cmr/m/n/10 class (pack-age \OT1/cmtt/m/n/10 weka.gui.visualize\OT1/cmr/m/n/10 )
.
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[]\OT1/cmtt/m/n/10 Instances curve = tc.getCurve(eval.predictions(), classInde
x);[]
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[] \OT1/cmtt/m/n/10 Utils.doubleToString(ThresholdCurve.getROCArea(curve),4)+
")");[]
[222]
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[] \OT1/cmtt/m/n/10 JFrame jf = new JFrame("Weka Classifier Tree Visualizer:
J48");[]
[223]
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[224] [225]
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[] \OT1/cmtt/m/n/10 Object o[] = SerializationHelper.readAll("/some/where/j48
.model");[]
) [226]
Chapter 17.
(./extending.tex
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ine 35.
[227] (./extending_classifier.tex
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[229] [230] [231]
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[] \OT1/cmtt/m/n/10 result.addAll(Arrays.asList(super.getOptions())); // sup
erclass[]
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ut line 200.
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\OT1/cmr/m/n/10 re-turns the class prob-a-bil-i-ties ar-ray of the pre-dic-tion
for the given \OT1/cmtt/m/n/10 weka.core.Instance
[232]
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\OT1/cmr/m/n/10 bel in-dex based on the prob-a-bil-i-ties ar-ray that the \OT1/
cmtt/m/n/10 distributionForInstance(Instance)
[233] [234] [235]
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[]\OT1/cmr/m/it/10 multi-instance clas-si-fiers \OT1/cmr/m/n/10 -- in or-der to
sig-nal that the spe-cial multi-instance
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\OT1/cmr/m/n/10 instance, \OT1/cmtt/m/n/10 weka.core.MultiInstanceCapabilitiesH
andler\OT1/cmr/m/n/10 , which re-turns
[236]
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\OT1/cmr/m/n/10 in case of de-scen-dants of the \OT1/cmtt/m/n/10 weka.classifie
r.MultipleClassifiersCombiner\OT1/cmr/m/n/10 ,
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[] \OT1/cmtt/m/n/9 result.enable(Capability.NOMINAL_CLASS); // only nominal
classes allowed[]
[237]
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[239]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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\OT1/cmr/m/n/10 class. The su-per-class for clas-si-fier unit tests is \OT1/cmt
t/m/n/10 weka.classifiers.AbstractClassifierTest\OT1/cmr/m/n/10 .
) [240] (./extending_filter.tex
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ine 63.
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line 66.
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\OT1/cmtt/m/n/10 weka.filters.Filter \OT1/cmr/m/n/10 su-per-class does not im-p
le-ment the \OT1/cmtt/m/n/10 weka.core.OptionHandler
[241] [242]
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\OT1/cmr/m/n/10 de-ter-mine what the out-put for-mat will be (and set if via \O
T1/cmtt/m/n/10 setOutputFormat(Instances)\OT1/cmr/m/n/10 )
[243] (./includes/BatchFilter.tex) [244] (./includes/BatchFilter2.tex) [245]
(./includes/BatchFilter3.tex)
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[246] (./includes/StreamFilter.tex) [247]
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236.
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ne 247.
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line 248.
[248] (./includes/SimpleBatch.tex
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[] \OT1/cmtt/m/n/8 return "A simple batch filter that adds an additional a
ttribute 'blah' at the end "[]
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [249]
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267.
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ne 278.
[250] (./includes/SimpleStream.tex
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [251]
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ut line 314.
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\OT1/cmr/m/n/10 bu-tions into ac-count. Must im-ple-ment the \OT1/cmtt/m/n/10 w
eka.filters.SupervisedFilter
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ne 337.
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\OT1/cmr/m/n/10 The Javadoc gen-er-a-tion works the same as with clas-si-fiers.
See sec-tion ``Javadoc''
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[252]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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[]\OT1/cmr/m/n/10 Here is an ex-am-ple call for \OT1/cmtt/m/n/10 weka.filters.u
nsupervised.attribute.ReplaceMissingValues
) [253] (./extending_other_algorithms.tex
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\OT1/cmr/m/n/10 like the \OT1/cmtt/m/n/10 FilteredClusterer \OT1/cmr/m/n/10 tha
t fil-ters the data on-the-fly for the base-clusterer.
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\OT1/cmr/m/n/10 one way or an-other. \OT1/cmtt/m/n/10 RandomizableClusterer\OT1
/cmr/m/n/10 , \OT1/cmtt/m/n/10 RandomizableDensityBasedClusterer
[254]
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.c
lusterers.AbstractClustererTest
[255]
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\OT1/cmr/m/n/10 The an-ces-tor for all eval-u-a-tors is the \OT1/cmtt/m/n/10 we
ka.attributeSelection.ASEvaluation
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[256]
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\OT1/cmr/m/n/10 The an-ces-tor for all search al-go-rithms is the \OT1/cmtt/m/n
/10 weka.attributeSelection.ASSearch
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ttributeSelection.AbstractEvaluatorTest
[257]
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\OT1/cmr/m/n/10 can also im-ple-ment a meta-associator, de-rived from \OT1/cmtt
/m/n/10 SingleAssociatorEnhancer\OT1/cmr/m/n/10 .
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[] \OT1/cmtt/m/n/10 public void buildAssociations(Instances data) throws Excep
tion {[]
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[258]
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[] \OT1/cmtt/m/n/10 AbstractAssociator.runAssociator(new FunkyAssociator(),
args);[]
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[] \OT1/cmtt/m/n/10 weka.associations.CheckAssociator -W classname [further op
tions][]
)
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ssociations.AbstractAssociatorTest
[259] (./extending_explorer.tex
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[]\OT1/cmtt/m/n/10 weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
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[]\OT1/cmr/m/n/10 adding the class-name of your class to the Tabs prop-erty in
the \OT1/cmtt/m/n/10 Explorer.props
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "SQL"; // what's displayed as tab-title, e.g.,
Classify[]
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[] \OT1/cmtt/m/n/10 return "Retrieving data from databases"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
[260]
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[261]
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[] \OT1/cmtt/m/n/10 /** the Load button - makes the data available in the Exp
lorer */[]
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[] \OT1/cmtt/m/n/10 Instances data = query.retrieveInstances(m_Viewer.g
etQuery());[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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<images/extending/SqlPanel.eps> [263]
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "DataGeneration"; // what's displayed as tab-ti
tle, e.g., Classify[]
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[] \OT1/cmtt/m/n/10 return "Generating artificial datasets"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
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[264]
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[] \OT1/cmtt/m/n/10 protected GenericObjectEditor m_GeneratorEditor = new Gen
ericObjectEditor();[]
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[] \OT1/cmtt/m/n/10 protected JButton m_ButtonGenerate = new JButton("Generat
e");[]
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[] \OT1/cmtt/m/n/10 DataGenerator generator = (DataGenerator) m_Generator
Editor.getValue();[]
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[] \OT1/cmtt/m/n/10 String cname = generator.getClass().getName().replace
All(".*\\.", "");[]
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[] \OT1/cmtt/m/n/10 cmd += " "+Utils.joinOptions(((OptionHandler)genera
tor).getOptions());[]
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[] \OT1/cmtt/m/n/10 DataGenerator.makeData(generator, generator.getOpti
ons());[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
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[] \OT1/cmtt/m/n/10 Instances data = new Instances(new StringReader(m_O
utput.getText()));[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
<images/extending/GeneratorPanel.eps>
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[266]
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<images/extending/ExperimentPanel.eps>
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[267]
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\OT1/cmr/m/n/10 home di-rec-tory) un-der the key \OT1/cmtt/m/n/10 weka.gui.visu
alize.plugins.VisualizePlugin\OT1/cmr/m/n/10 .
[268] <images/extending/PredictionTable.eps> [269]
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<images/extending/PredictionError.eps>)) [270]
Chapter 18.
(./technical_documentation.tex
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[271]
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[][][]\OT1/cmtt/m/n/10 export CLASSPATH=$CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
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[][][]\OT1/cmtt/m/n/10 setenv CLASSPATH $CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
[272]
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[273]
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\OT1/cmr/m/n/10 Here's once again how you start the Weka Main-GUI \OT1/cmr/bx/n
/10 with \OT1/cmr/m/n/10 your cur-rent [][]\OT1/cmtt/m/n/10 CLASSPATH
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[][]\OT1/cmtt/m/n/10 java -Xmx128m -classpath "%CLASSPATH%;weka.jar" weka.gui.M
ain
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[][][][][]
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[274]
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[][][][][]
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[275]
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\OT1/cmr/m/n/10 run-time (rather than us-ing only those spec-i-fied in the [][]
\OT1/cmtt/m/n/10 GenericObjectEditor.props
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[276]
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\OT1/cmr/m/n/10 Where the [][]\OT1/cmtt/m/n/10 <key> []\OT1/cmr/m/n/10 cor-re-s
ponds to a key in the [][]\OT1/cmtt/m/n/10 GenericPropertiesCreator.props
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[]\OT1/cmtt/m/n/10 # exclude all ResultListeners that also implement the Result
Producer interface[]
[278]
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[][][]\OT1/cmtt/m/n/10 java -classpath "/development:/distribution/weka.jar" we
ka.gui.GUIChooser
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[279]
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<images/technical/En-goe-353.eps> [280]
<images/technical/En-goe-filter-353.eps> [281]
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[282]
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[] \OT1/cmtt/m/n/10 <!ATTLIST option type (flag | single | hyphens | quotes)
"single">[]
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[283]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48">[]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48"/>[]
[284]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifiers.meta
.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.meta.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.clas
sifiers.trees.J48"/>[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48"/>[]
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[285]
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[]\OT1/cmr/m/n/10 The DTD for KOML can be found at [][][][]
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\OT1/cmr/m/n/10 put file (see op-tions of [][]\OT1/cmtt/m/n/10 weka.experiment.
Experiment []\OT1/cmr/m/n/10 and [][]\OT1/cmtt/m/n/10 weka.experiment.RemoteExp
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\OT1/cmr/m/n/10 The GraphVi-su-al-izer ([][]\OT1/cmtt/m/n/10 weka.gui.graphvisu
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nature">[]
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Chapter 19.
(./other_resources.tex
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[][][]\OT1/cmtt/m/n/10 java weka.core.converters.CSVLoader filename.csv > filen
ame.arff
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\OT1/cmr/m/n/10 Get-ting [][]\OT1/cmtt/m/n/10 java.lang.NoClassDefFoundError []
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[]\OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 -- A col-lec-tion of ex-am-p
le classes, as part of
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[][][][]
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[]\OT1/cmr/m/n/9 Cozman. See [][][][]
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\OT1/cmr/m/n/10 This man-ual is li-censed un-der the GNU Gen-eral Pub-lic Li-ce
nse
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\OT1/cmr/m/n/10 ver-sion 2. More in-for-ma-tion about this li-cense can be foun
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[2] (./manual.toc [3] [4] [5] [6] [7] [8]) [9] [10] [11] [12]
Chapter 1.
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[]\OT1/cmtt/m/n/7 % Any relation to real weather is purely coincidental.[]
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\OT1/cmtt/m/n/10 converters.CSVLoader\OT1/cmr/m/n/10 , which can be used to im-
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\OT1/cmr/m/n/10 Any learn-ing al-go-rithm in WEKA is de-rived from the ab-strac
t \OT1/cmtt/m/n/10 weka.classifiers.Classifier
[16] [17] [18]
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[]\OT1/cmtt/m/n/10 meta.ClassificationViaRegression -W functions.LinearRegressi
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[]\OT1/cmr/m/n/10 The \OT1/cmr/m/it/10 F-Measure \OT1/cmr/m/n/10 is sim-ply 2*P
re-ci-sion*Recall/(Precision+Recall), a com-bined
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\OT1/cmr/m/n/10 dicted class value, the con-fi-
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\OT1/cmr/m/n/10 Dividing by the num-ber of in-stances in the test set, i.e. \OT
1/cmtt/m/n/10 wc -l < soybean-test.preds
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.StratifiedRemoveFol
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.StratifiedRemoveFol
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.Resample -S 0 -Z
83 -c last -i $run/t$nr$f -o $run/t$nrp1$f[]
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[] \OT1/cmtt/m/n/7 -M "weka.classifiers.meta.ClassificationViaRegression -W
weka.classifiers.functions.LinearRegression -- -S 1" \[]
) [24] [25] [26]
Chapter 2.
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[]\OT1/cmr/bx/n/10 Weka on Source-forge \OT1/cmr/m/n/10 WEKA's project home-pag
e on Source-forge.net.
[28]) [29] [30]
Chapter 3.
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\OT1/cmr/m/n/10 with a dot (Unix/Linux: \OT1/cmtt/m/n/10 ./some/other/path/file
\OT1/cmr/m/n/10 ; Win-dows: .$\OMS/cmsy/m/n/10 n$\OT1/cmr/m/n/10 Some$\OMS/cmsy
/m/n/10 n$\OT1/cmr/m/n/10 Other$\OMS/cmsy/m/n/10 n$\OT1/cmr/m/n/10 Path$\OMS/cm
sy/m/n/10 n$\OT1/cmr/m/n/10 file).
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Chapter 4.
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Chapter 5.
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[] \OT1/cmtt/m/n/10 @attribute Key_Scheme {weka.classifiers.rules.ZeroR,weka.cl
assifiers.trees.J48}[]
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[] \OT1/cmtt/m/n/10 iris,1,weka.classifiers.rules.ZeroR,,48055541465867954,2005
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[] \OT1/cmtt/m/n/10 17,34,0,33.333333,66.666667,0,0,0.444444,0.471405,100,100,8
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[]\OT1/cmtt/m/n/10 ClassifierSplitEvaluator: weka.classifiers.trees.J48 -C 0.25
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[]\OT1/cmtt/m/n/10 Correctly Classified Instances 47 92.
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[]\OT1/cmtt/m/n/10 Incorrectly Classified Instances 4 7.
8431 %[]
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[]\OT1/cmr/m/n/10 As with the other Re-sult-Pro-duc-ers, ad-di-tional schemes c
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[]\OT1/cmr/m/n/10 Additional jar archives, i.e., JDBC drivers, are stored in \O
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[]engine/startRemoteEngine\OT1/cmr/m/n/10 ,
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[] \OT1/cmtt/m/n/10 -classpath /home/johndoe/jars/hsqldb.jar:remoteEngine.jar
\[]
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[] \OT1/cmtt/m/n/10 -classpath /home/johndoe/jars/mysql.jar:remoteEngine.jar
\[]
[84]
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[]\OT1/cmr/m/n/10 Edit this file and change the "\OT1/cmtt/m/n/9 jdbcURL=jdbc:h
sqldb:hsql://server[]name/database[]name\OT1/cmr/m/n/9 "
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\OT1/cmr/m/n/9 server (e.g., \OT1/cmtt/m/n/9 jdbcURL=jdbc:hsqldb:hsql://dodo.co
mpany.com/experiment\OT1/cmr/m/n/9 ).
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[] \OT1/cmtt/m/n/9 -cp /home/johndoe/jars/hsqldb.jar:remoteEngine.jar:/home/j
ohndoe/weka/weka.jar \[]
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[]\OT1/cmr/m/n/10 Edit this file and change the "\OT1/cmtt/m/n/9 jdbcURL=jdbc:m
ysql://server[]name:3306/database[]name\OT1/cmr/m/n/9 "
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[] \OT1/cmtt/m/n/9 -cp /home/johndoe/jars/mysql.jar:remoteEngine.jar:/home/jo
hndoe/weka/weka.jar \[]
[85]
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[]\OT1/cmtt/m/n/10 01:13:19: RemoteExperiment (//blabla.company.com/RemoteEngin
e)
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\OT1/cmtt/m/n/10 java.sql.SQLException: Table already exists: EXPERIMENT[]INDEX
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\OT1/cmtt/m/n/10 LONGVARCHAR, Experiment[]setup LONGVARCHAR, Result[]table INT
)]
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\OT1/cmtt/m/n/10 (//blabla.company.com/RemoteEngine) (sub)experiment (datataset
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\OT1/cmtt/m/n/10 vineyard.arff) failed : java.sql.SQLException: Table already
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\OT1/cmtt/m/n/10 Experiment[]index ( Experiment[]type LONGVARCHAR, Experiment[]
setup
[86] [87] <images/experimenter/analyser01.eps>
<images/experimenter/analyser02.eps> [88] <images/experimenter/analyser03.eps>
<images/experimenter/analyser04.eps>
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<images/experimenter/analyser_outputformat.eps>
<images/experimenter/analyser06.eps> <images/experimenter/analyser07.eps>
<images/experimenter/analyser08.eps> [91] <images/experimenter/analyser09.eps>
<images/experimenter/analyser10.eps>
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<images/experimenter/analyser11.eps>) [93] [94]
Chapter 6.
(./knowledgeflow.tex <images/knowledgeflow/knowledgeflow.eps> [95] [96]
[97] <images/knowledgeflow/components_datasources.eps>
<images/knowledgeflow/components_datasinks.eps>
<images/knowledgeflow/components_filters.eps>
<images/knowledgeflow/components_classifiers.eps>
<images/knowledgeflow/components_clusterers.eps>
<images/knowledgeflow/components_evaluation.eps> [98]
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[]\OT1/cmr/m/it/10 ClassifierPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate
the per-for-mance of batch trained/tested
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[]\OT1/cmr/m/it/10 ClustererPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate t
he per-for-mance of batch trained/tested
[99] <images/knowledgeflow/components_visualization.eps> [100]
<images/knowledgeflow/example_j48.eps> [101] [102]
<images/knowledgeflow/example_multiple_roc.eps>
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[]
[103] <images/knowledgeflow/example_multiple_roc_output.eps> [104]
<images/knowledgeflow/IncrementalFlow.eps>
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[]
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<images/knowledgeflow/IncrementalClassifierConfig.eps> [106]
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\OT1/cmr/m/n/10 mech-a-nism. Plu-g-ins are in-stalled in a di-rec-tory called [
][]\OT1/cmtt/m/n/10 .knowledgeFlow/plugins
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[]\OT1/cmtt/m/n/10 cygnus:~ mhall$ jar tvf /Users/mhall/.knowledgeFlow/plugins/
kettle/kettleKF.jar[]
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[] \OT1/cmtt/m/n/10 2812 Wed Feb 20 14:01:20 NZDT 2008 weka/gui/beans/icons/Ke
ttleInput.gif[]
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ttleInput_animated.gif[]
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[] \OT1/cmtt/m/n/10 1839 Wed Feb 20 13:59:08 NZDT 2008 weka/gui/beans/KettleIn
put.class[]
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[] \OT1/cmtt/m/n/10 174 Tue Feb 19 15:27:24 NZDT 2008 weka/gui/beans/KettleIn
putBeanInfo.class[]
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[]\OT1/cmtt/m/n/10 cygnus:~ mhall$ more /Users/mhall/.knowledgeFlow/plugins/ket
tle/Beans.props[]
) [107] [108]
Chapter 7.
(./arffviewer.tex <images/arffviewer/arffviewer_main.eps> [109]
<images/arffviewer/arffviewer_menu_file.eps>
<images/arffviewer/arffviewer_menu_edit.eps>
<images/arffviewer/arffviewer_menu_view.eps> [110]
<images/arffviewer/arffviewer_tableheader_popup.eps>
<images/arffviewer/arffviewer_table_popup.eps> [111]
<images/arffviewer/arffviewer_editing_nominal.eps> [112]
<images/arffviewer/arffviewer_sort_view.eps>) [113] [114]
Chapter 8.
(./bayesnet.tex <images/bayesnet/gui.net.eps> [115] [116]
<images/bayesnet/select.eps>
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\OT1/cmr/m/n/10 fer-ent from the ADTree clas-si-fier al-go-rithm from \OT1/cmtt
/m/n/10 weka.classifiers.tree.ADTree\OT1/cmr/m/n/10 .
[118] <images/bayesnet/local.algorithms.eps> [119] [120]
<images/bayesnet/score.sa.eps>
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[121] <images/bayesnet/score.tabu.eps>
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[122] <images/bayesnet/ci.algorithms.eps>
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\OT1/cmr/m/sl/10 8.3. CONDITIONAL INDEPENDENCE TEST BASED STRUCTURE LEARNING \
OT1/cmr/m/n/10 123
[123]
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[] \OT1/cmtt/m/n/10 Rule 5: if no edges are directed then take a rand
om one (first we can find)[]
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[127]
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[] \OT1/cmtt/m/n/9 Sets test file. If missing, a cross-validation will b
e performed on the[]
[128]
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[] \OT1/cmtt/m/n/9 Retrieves the options from the XML-data instead of th
e command line.[]
[129]
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[] \OT1/cmtt/m/n/10 Use tournament selection (true) or maximum subpopul
atin (false).[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[130]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[131]
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structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[132]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 When determining whether an edge exists a search is
performed[]
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[] \OT1/cmtt/m/n/10 for a set Z that separates the nodes. MaxCardinalit
y determines[]
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[] \OT1/cmtt/m/n/10 the maximum size of the set Z. This greatly influen
ces the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Use tournament selection (true) or maximum subpopul
atin (false).[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
[133]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[134]
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structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[135]
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structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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of the[]
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[] \OT1/cmtt/m/n/10 Name of file containing network structure in BIF fo
rmat[]
[136] [137]
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[]\OT1/cmtt/m/n/10 Scheme: weka.classifiers.bayes.BayesNet -D -B iris.xml
-Q weka.classifiers.bayes.net.search.local.K2 -- -P 2 -S BAYES -E weka.classif
iers.bayes.net.estimate.SimpleEstimator -- -A 0.5[]
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[]\OT1/cmtt/m/n/10 Relation: iris-weka.filters.unsupervised.attribute.Discr
etize-B2-M-1.0-Rfirst-last[]
[138]
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[]\OT1/cmtt/m/n/10 Correctly Classified Instances 116 77.
3333 %[]
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[]\OT1/cmtt/m/n/10 Incorrectly Classified Instances 34 22.
6667 %[]
<images/bayesnet/gui.select.eps> [139] <images/bayesnet/gui.net2.eps> [140]
<images/bayesnet/gui.netoptions.eps> <images/bayesnet/gui.table.eps>
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[]
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\OT1/cmr/m/n/10 vari-ables are dis-cretized us-ing the \OT1/cmtt/m/n/10 weka.fi
lters.supervised.attribute.Discretize
<images/bayesnet.editor/menuedit.eps>
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[]\OT1/cmr/m/n/10 The Gen-er-ate Net-work menu al-lows gen-er-a-tion of a com-p
lete ran-dom Bayesian
<images/bayesnet.editor/dlg.generate.eps> [145]
<images/bayesnet.editor/dlg.generated.eps>
<images/bayesnet.editor/dlg.learn.eps> <images/bayesnet.editor/dlg.layout.eps>
[146] <images/bayesnet.editor/viewevidence.eps>
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[148] <images/bayesnet.editor/popupmenuleft.eps>
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[]\OT1/cmr/m/n/10 Create a class that de-rives from \OT1/cmtt/m/n/10 weka.class
ifiers.bayes.net.search.SearchAlgorithm\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 validation based, you prob-a-bly want to de-rive from \OT1/cmtt
/m/n/10 ScoreSearchAlgorithm\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 CISearchAlgorithm \OT1/cmr/m/n/10 or \OT1/cmtt/m/n/10 CVSearch
Algorithm \OT1/cmr/m/n/10 in-stead of de-riv-ing from \OT1/cmtt/m/n/10 SearchAl
gorithm
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\OT1/cmtt/m/n/10 public void buildStructure(BayesNet bayesNet, Instances instan
ces)\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 You can ac-cess the par-entsets us-ing \OT1/cmtt/m/n/10 bayesNe
t.getParentSet(iAttribute)
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\OT1/cmtt/m/n/10 bayesNet.getParentSet(iAttribute).AddParent(iParent, instances
)
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[]\OT1/cmr/m/n/10 Alternatively, im-ple-ment \OT1/cmtt/m/n/10 public void searc
h(BayesNet bayesNet, Instances
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\OT1/cmtt/m/n/10 weka.classifiers.bayes.net.estimate.BayesNetEstimator\OT1/cmr/
m/n/10 . Let's say
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\OT1/cmtt/m/n/10 public void updateClassifier(BayesNet bayesNet, Instance insta
nce)\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 public double[] distributionForInstance(BayesNet bayesNet, Ins
tance
[154]
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\OT1/cmr/m/n/10 Use the class \OT1/cmtt/m/n/10 weka.filters.unsupervised.attrib
ute.Discretize \OT1/cmr/m/n/10 to dis-cretize
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\OT1/cmtt/m/n/10 java weka.filters.unsupervised.attribute.Discretize -B 3 -i in
file.arff
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -B -N 10 -A
9 -C
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -N 15 -A 20
-C 3
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -F alarm.xml
-M 1000
[155] [156]
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[]\OT1/cmr/m/n/10 Only leave-one-out, k-fold and cu-mu-la-tive cross-validation
are im-ple-mented.
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\OT1/cmr/m/n/10 These im-ple-men-ta-tions can be made more ef-fi-cient and othe
r cross-validation
) [157] [158] [159] [160]
Chapter 9.
(./arff.tex
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[] \OT1/cmtt/m/n/10 % (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.na
sa.gov)[]
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[] \OT1/cmtt/m/n/10 @ATTRIBUTE class {Iris-setosa,Iris-versicolor,Iris-
virginica}[]
[161] (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd) [162]
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\OT1/cmr/m/n/10 pos-si-ble val-ues: $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 nomina
l-name1$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n
/10 nominal-name2$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT
1/cmtt/m/n/10 nominal-name3$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 ,
[163] [164] [165]) [166]
Chapter 10.
(./xrff.tex [167]
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[] \OT1/cmtt/m/n/10 <!ATTLIST attribute type (numeric|date|nominal|string|r
elational) #REQUIRED>[]
[168] [169] [170]) [171] [172]
Chapter 11.
(./converters.tex [173]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.CSVSaver -i iris.arff -o iris
.csv[]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseLoader -Q "select * fro
m employee"[]
[174]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseSaver -i iris.arff -T
iris[]
) [175] [176]
Chapter 12.
(./stemmers.tex
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\OT1/cmr/m/n/10 Weka con-tains a wrap-per class for the Snow-ball (home-page: [
][][][])
[177]
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[]\OT1/cmr/m/n/10 within the String-ToWord-Vec-tor (pack-age \OT1/cmtt/m/n/10 w
eka.filters.unsupervised.attribute\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 GenericObjectEditor.props\OT1/cmr/m/n/10 /
\OT1/cmtt/m/n/10 GenericPropertiesCreator.props \OT1/cmr/m/n/10 file
) [178]
Chapter 13.
(./databases.tex
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.mssqlserver2005 \OT1/cmr/m/n/10 - MS SQL
Server 2005 ($\OML/cmm/m/it/10 >\OT1/cmr/m/n/10 =$3.4.11,
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.odbc \OT1/cmr/m/n/10 - ODBC ac-cess via
Sun's ODBC/JDBC bridge,
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[179] [180]
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\OT1/cmtt/m/n/10 jdbc:postgresql://server.my.domain:5432/MyDatabase?user=$\OML/
cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 &passwor
d=$\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$
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[182]
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[][][][]
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\OT1/cmr/m/n/10 com-mand \OT1/cmtt/m/n/10 java weka.core.SystemInfo \OT1/cmr/m/
n/10 and check whether the prop-
) [183] [184]
Chapter 14.
(./windows_databases.tex [185] [186]) [187] [188] [189] [190]
Chapter 15.
(./research.tex
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\OT1/cmr/m/n/10 ter-face it is now easy to ex-tract all the pa-per ref-er-ences
via \OT1/cmtt/m/n/10 weka.core.ClassDiscovery
[191] (./includes/get_wekatechinfo.tex [192]
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[]\OT1/cmtt/m/n/7 TECHINFOHANDLERS=`$JAVA weka.core.ClassDiscovery $TECHINFOHAN
DLER $PACKAGES | grep "\. weka" | sed s/".*weka"/weka/g`[]
)) [193] [194]
Chapter 16.
(./using_api.tex
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[195]
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\OT1/cmr/m/n/10 support-vector ma-chine clas-si-fier \OT1/cmr/m/it/10 SMO \OT1/
cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.classifiers.functions\OT1/cmr/m/n/10
)
[196]
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\OT1/cmr/m/n/10 method, it is best to have a look at the \OT1/cmtt/m/n/10 setOp
tions(String[]) \OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 getOptions()
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[]\OT1/cmr/m/n/10 A \OT1/cmtt/m/n/10 SelectedTag \OT1/cmr/m/n/10 gets con-struc
ted us-ing the ar-ray of all pos-si-ble \OT1/cmtt/m/n/10 weka.core.Tag
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[] \OT1/cmtt/m/n/10 setEvaluation(new SelectedTag(EVALUATION_CC, TAGS_EVALU
ATION));[]
[197]
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 attribute(int) \OT1/cmr/m/n/10 method. Thi
s method re-turns \OT1/cmtt/m/n/10 weka.core.Attribute
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[]\OT1/cmr/m/n/10 The \OT1/cmtt/m/n/10 DataSource \OT1/cmr/m/n/10 class (in-ner
class of the \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils
[198]
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\OT1/cmr/m/n/10 loaded into mem-ory and then pro-vided row-by-row (``pseudo-inc
remental'').
[199] [200]
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\OT1/cmr/m/n/10 The class \OT1/cmtt/m/n/10 wekaexamples.core.CreateInstances \O
T1/cmr/m/n/10 of the \OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 collectio
n[[]]
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\OT1/cmr/m/n/10 For all of the dif-fer-ent at-tribute types, WEKA uses the same
class, \OT1/cmtt/m/n/10 weka.core.Attribute\OT1/cmr/m/n/10 ,
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[]\OT1/cmtt/m/n/10 Attribute date = new Attribute("name_of_attr", "yyyy-MM-dd"
);[]
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[]\OT1/cmtt/m/n/10 Attribute string = new Attribute("name_of_attr", (FastVecto
r) null);[]
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[202]
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[]\OT1/cmtt/m/n/10 Attribute relational = new Attribute("name_of_attr", rel_st
ruct);[]
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[] \OT1/cmtt/m/n/10 Instances dataset = new Instances("Test-dataset", attribu
tes, 0);[]
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\OT1/cmr/m/n/10 to it, row by row. There are ba-si-cally two con-struc-tors of
the \OT1/cmtt/m/n/10 weka.core.Instance
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[]\OT1/cmtt/m/n/10 Instance(double weight, double[] attValues) \OT1/cmr/m/n/10
-- gen-er-ates an \OT1/cmtt/m/n/10 Instance
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[203]
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[]\OT1/cmtt/m/n/10 values[3] = data.attribute(3).addStringValue("This is a str
ing");[]
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[]\OT1/cmtt/m/n/10 Instances dataRel = new Instances(data.attribute(4).relatio
n(),0);[]
[204]
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\OT1/cmr/m/n/10 Simply gen-er-at-ing an ARFF file is achieved us-ing the static
\OT1/cmtt/m/n/10 DataGenerator.makeData
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\OT1/cmr/m/n/10 method. In or-der to write to a file, the gen-er-a-tor needs to
have a \OT1/cmtt/m/n/10 java.io.PrintWriter
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[] \OT1/cmtt/m/n/10 new java.io.BufferedWriter(new java.io.FileWriter("rdg1.ar
ff")));[]
[205]
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[]\OT1/cmr/m/n/10 Using the \OT1/cmtt/m/n/10 Randomize \OT1/cmr/m/n/10 fil-ter
(pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.instance\OT1/cmr/m/n/10 ).
[206] [207]
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[] \OT1/cmtt/m/n/10 remove.setInputFormat(data); // inform filter abo
ut dataset[]
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[] \OT1/cmtt/m/n/10 // **AFTER** setting
options[]
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[] \OT1/cmtt/m/n/10 Instances newData = Filter.useFilter(data, remove); // ap
ply filter[]
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\OT1/cmr/m/n/10 A com-mon trap to fall into is set-ting op-tions \OT1/cmr/bx/n/
10 af-ter \OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 setInputFormat(Instances)
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\OT1/cmr/m/n/10 with the \OT1/cmtt/m/n/10 Standardize \OT1/cmr/m/n/10 fil-ter (
pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.attribute\OT1/cmr/m/n/10 ):
[208]
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\OT1/cmr/m/n/10 like \OT1/cmtt/m/n/10 FilteredClassifier \OT1/cmr/m/n/10 (pack-
age \OT1/cmtt/m/n/10 weka.classifiers.meta\OT1/cmr/m/n/10 ), \OT1/cmtt/m/n/10 F
ilteredClusterer
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\OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.clusterers\OT1/cmr/m/n/10 ), \O
T1/cmtt/m/n/10 FilteredAssociator \OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 we
ka.associations\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 FilteredAttributeEval\OT1/cmr/m/n/10 /\OT1
/cmtt/m/n/10 FilteredSubsetEval \OT1/cmr/m/n/10 (in \OT1/cmtt/m/n/10 weka.attri
buteSelection\OT1/cmr/m/n/10 ).
[209]
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\OT1/cmr/m/n/10 All in-cre-men-tal clas-si-fiers in WEKA im-ple-ment the in-ter
-face \OT1/cmtt/m/n/10 UpdateableClassifier
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row, by call-ing the
\OT1/cmtt/m/n/10 updateClassifier(Instance)
[210] [211]
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\OT1/cmr/m/n/10 The eval-u-a-tion step, in-clud-ing col-lec-tion of statis-tics
, is per-formed by the \OT1/cmtt/m/n/10 Evaluation
[212]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
[213]
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[]\OT1/cmtt/m/n/10 toClassDetailsString \OT1/cmr/m/n/10 -- out-puts TP/FP rates
, pre-ci-sion, re-call, F-measure,
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[]\OT1/cmtt/m/n/10 toCumulativeMarginDistributionString \OT1/cmr/m/n/10 -- out-
puts the cu-mu-la-tive mar-
[214]
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[] \OT1/cmtt/m/n/10 Instances unlabeled = DataSource.read("/some/where/unlabe
led.arff");[]
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[] \OT1/cmtt/m/n/10 double clsLabel = tree.classifyInstance(unlabeled.insta
nce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = cls.distributionForInstance(test.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.instance(i).toString(test.classIn
dex()) + " - ");[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.classAttribute().value((int) pred
) + " - ");[]
[215]
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[]\OT1/cmr/m/it/10 build the model \OT1/cmr/m/n/10 with train-ing data -- call-
ing the \OT1/cmtt/m/n/10 buildClusterer(Instances)
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\OT1/cmr/m/n/10 Incremental clus-ter-ers in WEKA im-ple-ment the in-ter-face \O
T1/cmtt/m/n/10 UpdateableClusterer
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row by call-ing the
the \OT1/cmtt/m/n/10 updateClusterer(Instance)
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[217] [218]
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[] \OT1/cmtt/m/n/10 System.out.println(ClusterEvaluation.evaluateClusterer(new
EM(), options));[]
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[] \OT1/cmtt/m/n/10 DensityBasedClusterer clusterer = new ... // the clust
erer to evaluate[]
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[] \OT1/cmtt/m/n/10 new Random(1)); // and rando
m number generator[]
[219]
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[] \OT1/cmtt/m/n/10 filter.setAttributeIndices("" + (data.classIndex() + 1)
);[]
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[] \OT1/cmtt/m/n/10 Instances dataClusterer = Filter.useFilter(data, filter
);[]
[220]
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[]\OT1/cmtt/m/n/10 clusterInstance(Instance) \OT1/cmr/m/n/10 -- de-ter-mines th
e clus-ter the \OT1/cmtt/m/n/10 Instance \OT1/cmr/m/n/10 would
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[] \OT1/cmtt/m/n/10 int cluster = clusterer.clusterInstance(dataset2.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = clusterer.distributionForInstance(datas
et2.instance(i));[]
[221]
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[]\OT1/cmr/m/it/10 single at-tribute eval-u-a-tors \OT1/cmr/m/n/10 -- per-form
eval-u-a-tions on sin-gle at-tributes. These
[222]
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[] \OT1/cmtt/m/n/10 AttributeSelectedClassifier classifier = new AttributeSel
ectedClassifier();[]
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[] \OT1/cmtt/m/n/10 evaluation.crossValidateModel(classifier, data, 10, new R
andom(1));[]
[223]
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\OT1/cmr/m/n/10 train-ing a clas-si-fier, then the fil-ter ap-proach is the rig
ht one. The \OT1/cmtt/m/n/10 AttributeSelection
[224] [225]
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\OT1/cmr/m/n/10 ing the data or use an ex-plicit con-verter (all savers are lo-
cated in the \OT1/cmtt/m/n/10 weka.core.converters
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[]\OT1/cmr/m/n/10 Use the \OT1/cmtt/m/n/10 DataSink \OT1/cmr/m/n/10 class (in-n
er class of \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils\OT1/cmr/m/n/10
),
[226] [227]
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\OT1/cmr/m/n/10 tions, us-ing the \OT1/cmtt/m/n/10 ThresholdCurve \OT1/cmr/m/n/
10 class (pack-age \OT1/cmtt/m/n/10 weka.classifiers.evaluation\OT1/cmr/m/n/10
).
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\OT1/cmr/m/n/10 in-stance of the \OT1/cmtt/m/n/10 ThresholdVisualizePanel \OT1/
cmr/m/n/10 class (pack-age \OT1/cmtt/m/n/10 weka.gui.visualize\OT1/cmr/m/n/10 )
.
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[]\OT1/cmtt/m/n/10 Instances curve = tc.getCurve(eval.predictions(), classInde
x);[]
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[] \OT1/cmtt/m/n/10 Utils.doubleToString(ThresholdCurve.getROCArea(curve),4)+
")");[]
[228]
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[] \OT1/cmtt/m/n/10 JFrame jf = new JFrame("Weka Classifier Tree Visualizer:
J48");[]
[229] [230] [231]
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[] \OT1/cmtt/m/n/10 Object o[] = SerializationHelper.readAll("/some/where/j48
.model");[]
) [232]
Chapter 17.
(./extending.tex [233] (./extending_classifier.tex
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[235] [236] [237]
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[] \OT1/cmtt/m/n/10 result.addAll(Arrays.asList(super.getOptions())); // sup
erclass[]
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\OT1/cmr/m/n/10 re-turns the class prob-a-bil-i-ties ar-ray of the pre-dic-tion
for the given \OT1/cmtt/m/n/10 weka.core.Instance
[238]
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\OT1/cmr/m/n/10 bel in-dex based on the prob-a-bil-i-ties ar-ray that the \OT1/
cmtt/m/n/10 distributionForInstance(Instance)
[239] [240] [241]
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[]\OT1/cmr/m/it/10 multi-instance clas-si-fiers \OT1/cmr/m/n/10 -- in or-der to
sig-nal that the spe-cial multi-instance
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\OT1/cmr/m/n/10 instance, \OT1/cmtt/m/n/10 weka.core.MultiInstanceCapabilitiesH
andler\OT1/cmr/m/n/10 , which re-turns
[242]
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\OT1/cmr/m/n/10 in case of de-scen-dants of the \OT1/cmtt/m/n/10 weka.classifie
r.MultipleClassifiersCombiner\OT1/cmr/m/n/10 ,
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[] \OT1/cmtt/m/n/9 result.enable(Capability.NOMINAL_CLASS); // only nominal
classes allowed[]
[243]
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[245]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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\OT1/cmr/m/n/10 class. The su-per-class for clas-si-fier unit tests is \OT1/cmt
t/m/n/10 weka.classifiers.AbstractClassifierTest\OT1/cmr/m/n/10 .
) [246] (./extending_filter.tex
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\OT1/cmtt/m/n/10 weka.filters.Filter \OT1/cmr/m/n/10 su-per-class does not im-p
le-ment the \OT1/cmtt/m/n/10 weka.core.OptionHandler
[247] [248]
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\OT1/cmr/m/n/10 de-ter-mine what the out-put for-mat will be (and set if via \O
T1/cmtt/m/n/10 setOutputFormat(Instances)\OT1/cmr/m/n/10 )
[249] (./includes/BatchFilter.tex) [250] (./includes/BatchFilter2.tex) [251]
(./includes/BatchFilter3.tex)
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[252] (./includes/StreamFilter.tex) [253] [254] (./includes/SimpleBatch.tex
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[] \OT1/cmtt/m/n/8 return "A simple batch filter that adds an additional a
ttribute 'blah' at the end "[]
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [255] [256] (./includes/SimpleStream.tex
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [257]
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\OT1/cmr/m/n/10 bu-tions into ac-count. Must im-ple-ment the \OT1/cmtt/m/n/10 w
eka.filters.SupervisedFilter
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\OT1/cmr/m/n/10 The Javadoc gen-er-a-tion works the same as with clas-si-fiers.
See sec-tion ``Javadoc''
[258]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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[]\OT1/cmr/m/n/10 Here is an ex-am-ple call for \OT1/cmtt/m/n/10 weka.filters.u
nsupervised.attribute.ReplaceMissingValues
) [259] (./extending_other_algorithms.tex
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\OT1/cmr/m/n/10 like the \OT1/cmtt/m/n/10 FilteredClusterer \OT1/cmr/m/n/10 tha
t fil-ters the data on-the-fly for the base-clusterer.
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\OT1/cmr/m/n/10 one way or an-other. \OT1/cmtt/m/n/10 RandomizableClusterer\OT1
/cmr/m/n/10 , \OT1/cmtt/m/n/10 RandomizableDensityBasedClusterer
[260]
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.c
lusterers.AbstractClustererTest
[261]
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\OT1/cmr/m/n/10 The an-ces-tor for all eval-u-a-tors is the \OT1/cmtt/m/n/10 we
ka.attributeSelection.ASEvaluation
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[262]
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\OT1/cmr/m/n/10 The an-ces-tor for all search al-go-rithms is the \OT1/cmtt/m/n
/10 weka.attributeSelection.ASSearch
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ttributeSelection.AbstractEvaluatorTest
[263]
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\OT1/cmr/m/n/10 can also im-ple-ment a meta-associator, de-rived from \OT1/cmtt
/m/n/10 SingleAssociatorEnhancer\OT1/cmr/m/n/10 .
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[] \OT1/cmtt/m/n/10 public void buildAssociations(Instances data) throws Excep
tion {[]
[264]
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[] \OT1/cmtt/m/n/10 AbstractAssociator.runAssociator(new FunkyAssociator(),
args);[]
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[] \OT1/cmtt/m/n/10 weka.associations.CheckAssociator -W classname [further op
tions][]
)
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ssociations.AbstractAssociatorTest
[265] (./extending_explorer.tex
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[]\OT1/cmtt/m/n/10 weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
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[]\OT1/cmr/m/n/10 adding the class-name of your class to the Tabs prop-erty in
the \OT1/cmtt/m/n/10 Explorer.props
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "SQL"; // what's displayed as tab-title, e.g.,
Classify[]
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[] \OT1/cmtt/m/n/10 return "Retrieving data from databases"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
[266]
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[267]
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[] \OT1/cmtt/m/n/10 /** the Load button - makes the data available in the Exp
lorer */[]
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[] \OT1/cmtt/m/n/10 Instances data = query.retrieveInstances(m_Viewer.g
etQuery());[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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<images/extending/SqlPanel.eps> [269]
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "DataGeneration"; // what's displayed as tab-ti
tle, e.g., Classify[]
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[] \OT1/cmtt/m/n/10 return "Generating artificial datasets"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
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[270]
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[] \OT1/cmtt/m/n/10 protected GenericObjectEditor m_GeneratorEditor = new Gen
ericObjectEditor();[]
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[] \OT1/cmtt/m/n/10 protected JButton m_ButtonGenerate = new JButton("Generat
e");[]
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[] \OT1/cmtt/m/n/10 DataGenerator generator = (DataGenerator) m_Generator
Editor.getValue();[]
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[] \OT1/cmtt/m/n/10 String cname = generator.getClass().getName().replace
All(".*\\.", "");[]
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[] \OT1/cmtt/m/n/10 cmd += " "+Utils.joinOptions(((OptionHandler)genera
tor).getOptions());[]
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[] \OT1/cmtt/m/n/10 DataGenerator.makeData(generator, generator.getOpti
ons());[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
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[] \OT1/cmtt/m/n/10 Instances data = new Instances(new StringReader(m_O
utput.getText()));[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
<images/extending/GeneratorPanel.eps>
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[272] <images/extending/ExperimentPanel.eps>
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[273]
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\OT1/cmr/m/n/10 home di-rec-tory) un-der the key \OT1/cmtt/m/n/10 weka.gui.visu
alize.plugins.VisualizePlugin\OT1/cmr/m/n/10 .
[274] <images/extending/PredictionTable.eps> [275]
<images/extending/PredictionError.eps>)) [276]
Chapter 18.
(./technical_documentation.tex
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[277]
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[][][]\OT1/cmtt/m/n/10 export CLASSPATH=$CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
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[][][]\OT1/cmtt/m/n/10 setenv CLASSPATH $CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
[278]
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[279]
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\OT1/cmr/m/n/10 Here's once again how you start the Weka Main-GUI \OT1/cmr/bx/n
/10 with \OT1/cmr/m/n/10 your cur-rent [][]\OT1/cmtt/m/n/10 CLASSPATH
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[][]\OT1/cmtt/m/n/10 java -Xmx128m -classpath "%CLASSPATH%;weka.jar" weka.gui.M
ain
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[][][][][]
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[280]
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[][][][][]
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[281]
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\OT1/cmr/m/n/10 run-time (rather than us-ing only those spec-i-fied in the [][]
\OT1/cmtt/m/n/10 GenericObjectEditor.props
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[282]
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[283]
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\OT1/cmr/m/n/10 Where the [][]\OT1/cmtt/m/n/10 <key> []\OT1/cmr/m/n/10 cor-re-s
ponds to a key in the [][]\OT1/cmtt/m/n/10 GenericPropertiesCreator.props
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[]\OT1/cmtt/m/n/10 # exclude all ResultListeners that also implement the Result
Producer interface[]
[284]
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[][][]\OT1/cmtt/m/n/10 java -classpath "/development:/distribution/weka.jar" we
ka.gui.GUIChooser
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[285]
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<images/technical/En-goe-353.eps> [286]
<images/technical/En-goe-filter-353.eps> [287]
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[288]
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[] \OT1/cmtt/m/n/10 <!ATTLIST option type (flag | single | hyphens | quotes)
"single">[]
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[289]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48">[]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48"/>[]
[290]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifiers.meta
.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.meta.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.clas
sifiers.trees.J48"/>[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48"/>[]
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[291]
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[292]
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[]\OT1/cmr/m/n/10 The DTD for KOML can be found at [][][][]
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\OT1/cmr/m/n/10 put file (see op-tions of [][]\OT1/cmtt/m/n/10 weka.experiment.
Experiment []\OT1/cmr/m/n/10 and [][]\OT1/cmtt/m/n/10 weka.experiment.RemoteExp
eriment
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\OT1/cmr/m/n/10 The GraphVi-su-al-izer ([][]\OT1/cmtt/m/n/10 weka.gui.graphvisu
alizer.GraphVisualizer[]\OT1/cmr/m/n/10 ) can save
[293]
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[] \OT1/cmtt/m/n/10 <!ELEMENT NETWORK ( NAME, ( PROPERTY | VARIABLE | DEFINIT
ION )* )>[]
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[] \OT1/cmtt/m/n/10 <!ATTLIST VARIABLE TYPE (nature|decision|utility) "
nature">[]
) [294]
Chapter 19.
(./other_resources.tex
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[295]
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[][][]\OT1/cmtt/m/n/10 java weka.core.converters.CSVLoader filename.csv > filen
ame.arff
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\OT1/cmr/m/n/10 Get-ting [][]\OT1/cmtt/m/n/10 java.lang.NoClassDefFoundError []
\OT1/cmr/m/n/10 ex-cep-tions? Most likely your \OT1/cmr/bx/n/10 CLASS-
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[297]
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[298]
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[]\OT1/cmtt/m/n/10 /usr/share/themes/Mist/gtk-2.0/gtkrc:48: Engine "mist" is un
supported, ignoring[]
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[] \OT1/cmtt/m/n/10 at weka.gui.explorer.PreprocessPanel.addPropertyChang
eListener(PreprocessPanel.java:519)[]
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[] \OT1/cmtt/m/n/10 at javax.swing.plaf.synth.SynthPanelUI.installListene
rs(SynthPanelUI.java:49)[]
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[] \OT1/cmtt/m/n/10 at javax.swing.plaf.synth.SynthPanelUI.installUI(Synt
hPanelUI.java:38)[]
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[299]
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[]\OT1/cmr/m/n/10 Java VM op-tions ([][][][])
) (./bibliography.tex [300]
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[]\OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 -- A col-lec-tion of ex-am-p
le classes, as part of
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\OT1/cmr/m/n/10 an ANT project, in-cluded in the WEKA snap-shots (avail-able
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[]\OT1/cmr/m/n/9 Cozman. See [][][][]
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\OT1/cmr/m/n/10 This man-ual is li-censed un-der the GNU Gen-eral Pub-lic Li-ce
nse
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\OT1/cmr/m/n/10 ver-sion 2. More in-for-ma-tion about this li-cense can be foun
d at
[2] (./manual.toc [3] [4] [5] [6] [7] [8]) [9] [10] [11] [12]
Chapter 1.
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[]\OT1/cmtt/m/n/7 % Any relation to real weather is purely coincidental.[]
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\OT1/cmtt/m/n/10 converters.CSVLoader\OT1/cmr/m/n/10 , which can be used to im-
port C45 datasets and comma/tab-
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\OT1/cmr/m/n/10 Any learn-ing al-go-rithm in WEKA is de-rived from the ab-strac
t \OT1/cmtt/m/n/10 weka.classifiers.Classifier
[16] [17] [18]
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[]\OT1/cmtt/m/n/10 meta.ClassificationViaRegression -W functions.LinearRegressi
on
[19]
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[]\OT1/cmr/m/n/10 The \OT1/cmr/m/it/10 F-Measure \OT1/cmr/m/n/10 is sim-ply 2*P
re-ci-sion*Recall/(Precision+Recall), a com-bined
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\OT1/cmr/m/n/10 dicted class value, the con-fi-
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\OT1/cmr/m/n/10 Dividing by the num-ber of in-stances in the test set, i.e. \OT
1/cmtt/m/n/10 wc -l < soybean-test.preds
[22] (./includes/learning_curves.tex
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.StratifiedRemoveFol
ds -N 4 -F 1 -S $run -c last -i ../$f -o $run/t_$f[]
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.StratifiedRemoveFol
ds -N 4 -F 1 -S $run -V -c last -i ../$f -o $run/t0$f[]
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[] \OT1/cmtt/m/n/7 java weka.filters.supervised.instance.Resample -S 0 -Z
83 -c last -i $run/t$nr$f -o $run/t$nrp1$f[]
[23])
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[] \OT1/cmtt/m/n/7 -M "weka.classifiers.meta.ClassificationViaRegression -W
weka.classifiers.functions.LinearRegression -- -S 1" \[]
) [24] [25] [26]
Chapter 2.
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<images/launching/guic_visualization.eps> <images/launching/guic_help.eps>
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[]\OT1/cmr/bx/n/10 Weka on Source-forge \OT1/cmr/m/n/10 WEKA's project home-pag
e on Source-forge.net.
[28]) [29] [30]
Chapter 3.
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<images/simplecli/simplecli_j48.eps> [32]
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\OT1/cmr/m/n/10 with a dot (Unix/Linux: \OT1/cmtt/m/n/10 ./some/other/path/file
\OT1/cmr/m/n/10 ; Win-dows: .$\OMS/cmsy/m/n/10 n$\OT1/cmr/m/n/10 Some$\OMS/cmsy
/m/n/10 n$\OT1/cmr/m/n/10 Other$\OMS/cmsy/m/n/10 n$\OT1/cmr/m/n/10 Path$\OMS/cm
sy/m/n/10 n$\OT1/cmr/m/n/10 file).
) [33] [34]
Chapter 4.
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[38] <images/explorer/explorer_preprocess_filter.eps> [39]
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Chapter 5.
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[] \OT1/cmtt/m/n/10 @attribute Key_Scheme {weka.classifiers.rules.ZeroR,weka.cl
assifiers.trees.J48}[]
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[] \OT1/cmtt/m/n/10 @attribute Summary {'Number of leaves: 3\nSize of the tree:
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[] \OT1/cmtt/m/n/10 iris,1,weka.classifiers.rules.ZeroR,,48055541465867954,2005
1221.033,99,51,[]
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[] \OT1/cmtt/m/n/10 17,34,0,33.333333,66.666667,0,0,0.444444,0.471405,100,100,8
0.833088,80.833088,[]
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[] \OT1/cmtt/m/n/10 0,1.584963,1.584963,0,0,0,0,1,17,1,34,0,0,0,0,0.333333,1,0.
5,0.5,0,0,?,?,?,?[]
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[]\OT1/cmtt/m/n/10 ClassifierSplitEvaluator: weka.classifiers.trees.J48 -C 0.25
-M 2(version[]
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[]\OT1/cmtt/m/n/10 Correctly Classified Instances 47 92.
1569 %[]
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[]\OT1/cmtt/m/n/10 Incorrectly Classified Instances 4 7.
8431 %[]
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[]\OT1/cmr/m/n/10 As with the other Re-sult-Pro-duc-ers, ad-di-tional schemes c
an be de-fined. When
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uator.eps>
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uator2.eps>
<images/experimenter/advanced-clusterexperiments-selectclusterer.eps>
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[]\OT1/cmr/m/n/10 Additional jar archives, i.e., JDBC drivers, are stored in \O
T1/cmtt/m/n/10 /home/johndoe/jars\OT1/cmr/m/n/10 .
[83]
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[]\OT1/cmr/m/n/10 Create a script, called \OT1/cmtt/m/n/10 /home/johndoe/remote
[]engine/startRemoteEngine\OT1/cmr/m/n/10 ,
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[] \OT1/cmtt/m/n/10 -classpath /home/johndoe/jars/hsqldb.jar:remoteEngine.jar
\[]
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[] \OT1/cmtt/m/n/10 -classpath /home/johndoe/jars/mysql.jar:remoteEngine.jar
\[]
[84]
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[]\OT1/cmr/m/n/10 Edit this file and change the "\OT1/cmtt/m/n/9 jdbcURL=jdbc:h
sqldb:hsql://server[]name/database[]name\OT1/cmr/m/n/9 "
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\OT1/cmr/m/n/9 server (e.g., \OT1/cmtt/m/n/9 jdbcURL=jdbc:hsqldb:hsql://dodo.co
mpany.com/experiment\OT1/cmr/m/n/9 ).
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[] \OT1/cmtt/m/n/9 -cp /home/johndoe/jars/hsqldb.jar:remoteEngine.jar:/home/j
ohndoe/weka/weka.jar \[]
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[]\OT1/cmr/m/n/10 Edit this file and change the "\OT1/cmtt/m/n/9 jdbcURL=jdbc:m
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[] \OT1/cmtt/m/n/9 -cp /home/johndoe/jars/mysql.jar:remoteEngine.jar:/home/jo
hndoe/weka/weka.jar \[]
[85]
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[]\OT1/cmtt/m/n/10 01:13:19: RemoteExperiment (//blabla.company.com/RemoteEngin
e)
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\OT1/cmtt/m/n/10 java.sql.SQLException: Table already exists: EXPERIMENT[]INDEX
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\OT1/cmtt/m/n/10 LONGVARCHAR, Experiment[]setup LONGVARCHAR, Result[]table INT
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\OT1/cmtt/m/n/10 (//blabla.company.com/RemoteEngine) (sub)experiment (datataset
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\OT1/cmtt/m/n/10 vineyard.arff) failed : java.sql.SQLException: Table already
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\OT1/cmtt/m/n/10 Experiment[]index ( Experiment[]type LONGVARCHAR, Experiment[]
setup
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<images/experimenter/analyser11.eps>) [93] [94]
Chapter 6.
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<images/knowledgeflow/components_datasinks.eps>
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[]\OT1/cmr/m/it/10 ClassifierPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate
the per-for-mance of batch trained/tested
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[]\OT1/cmr/m/it/10 ClustererPerformanceEvaluator \OT1/cmr/m/n/10 - eval-u-ate t
he per-for-mance of batch trained/tested
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\OT1/cmr/m/n/10 mech-a-nism. Plu-g-ins are in-stalled in a di-rec-tory called [
][]\OT1/cmtt/m/n/10 .knowledgeFlow/plugins
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[]\OT1/cmtt/m/n/10 cygnus:~ mhall$ jar tvf /Users/mhall/.knowledgeFlow/plugins/
kettle/kettleKF.jar[]
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[] \OT1/cmtt/m/n/10 2812 Wed Feb 20 14:01:20 NZDT 2008 weka/gui/beans/icons/Ke
ttleInput.gif[]
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ttleInput_animated.gif[]
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[] \OT1/cmtt/m/n/10 1839 Wed Feb 20 13:59:08 NZDT 2008 weka/gui/beans/KettleIn
put.class[]
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[] \OT1/cmtt/m/n/10 174 Tue Feb 19 15:27:24 NZDT 2008 weka/gui/beans/KettleIn
putBeanInfo.class[]
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[]\OT1/cmtt/m/n/10 cygnus:~ mhall$ more /Users/mhall/.knowledgeFlow/plugins/ket
tle/Beans.props[]
) [107] [108]
Chapter 7.
(./arffviewer.tex <images/arffviewer/arffviewer_main.eps> [109]
<images/arffviewer/arffviewer_menu_file.eps>
<images/arffviewer/arffviewer_menu_edit.eps>
<images/arffviewer/arffviewer_menu_view.eps> [110]
<images/arffviewer/arffviewer_tableheader_popup.eps>
<images/arffviewer/arffviewer_table_popup.eps> [111]
<images/arffviewer/arffviewer_editing_nominal.eps> [112]
<images/arffviewer/arffviewer_sort_view.eps>) [113] [114]
Chapter 8.
(./bayesnet.tex <images/bayesnet/gui.net.eps> [115] [116]
<images/bayesnet/select.eps>
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\OT1/cmr/m/n/10 fer-ent from the ADTree clas-si-fier al-go-rithm from \OT1/cmtt
/m/n/10 weka.classifiers.tree.ADTree\OT1/cmr/m/n/10 .
[118] <images/bayesnet/local.algorithms.eps> [119] [120]
<images/bayesnet/score.sa.eps>
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[121] <images/bayesnet/score.tabu.eps>
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\OT1/cmr/m/sl/10 8.3. CONDITIONAL INDEPENDENCE TEST BASED STRUCTURE LEARNING \
OT1/cmr/m/n/10 123
[123]
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[] \OT1/cmtt/m/n/10 Rule 5: if no edges are directed then take a rand
om one (first we can find)[]
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[127]
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[] \OT1/cmtt/m/n/9 Sets test file. If missing, a cross-validation will b
e performed on the[]
[128]
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[] \OT1/cmtt/m/n/9 Retrieves the options from the XML-data instead of th
e command line.[]
[129]
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[] \OT1/cmtt/m/n/10 Use tournament selection (true) or maximum subpopul
atin (false).[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[130]
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structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[131]
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structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[132]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 When determining whether an edge exists a search is
performed[]
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[] \OT1/cmtt/m/n/10 for a set Z that separates the nodes. MaxCardinalit
y determines[]
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[] \OT1/cmtt/m/n/10 the maximum size of the set Z. This greatly influen
ces the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Use tournament selection (true) or maximum subpopul
atin (false).[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
[133]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[134]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
[135]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Applies a Markov Blanket correction to the network
structure,[]
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[] \OT1/cmtt/m/n/10 after a network structure is learned. This ensures
that all[]
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[] \OT1/cmtt/m/n/10 nodes in the network are part of the Markov blanket
of the[]
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[] \OT1/cmtt/m/n/10 Name of file containing network structure in BIF fo
rmat[]
[136] [137]
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[]\OT1/cmtt/m/n/10 Scheme: weka.classifiers.bayes.BayesNet -D -B iris.xml
-Q weka.classifiers.bayes.net.search.local.K2 -- -P 2 -S BAYES -E weka.classif
iers.bayes.net.estimate.SimpleEstimator -- -A 0.5[]
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[]\OT1/cmtt/m/n/10 Relation: iris-weka.filters.unsupervised.attribute.Discr
etize-B2-M-1.0-Rfirst-last[]
[138]
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[]\OT1/cmtt/m/n/10 Correctly Classified Instances 116 77.
3333 %[]
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[]\OT1/cmtt/m/n/10 Incorrectly Classified Instances 34 22.
6667 %[]
<images/bayesnet/gui.select.eps> [139] <images/bayesnet/gui.net2.eps> [140]
<images/bayesnet/gui.netoptions.eps> <images/bayesnet/gui.table.eps>
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[141] <images/bayesnet.editor/viewgraph.eps>
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[]
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<images/bayesnet.editor/menufile.eps>
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\OT1/cmr/m/n/10 vari-ables are dis-cretized us-ing the \OT1/cmtt/m/n/10 weka.fi
lters.supervised.attribute.Discretize
<images/bayesnet.editor/menuedit.eps>
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<images/bayesnet.editor/dlg.addnode.eps>
<images/bayesnet.editor/dlg.addarc.eps> [144]
<images/bayesnet.editor/dlg.addarc2.eps>
<images/bayesnet.editor/dlg.delarc.eps>
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<images/bayesnet.editor/menutools.eps>
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[]\OT1/cmr/m/n/10 The Gen-er-ate Net-work menu al-lows gen-er-a-tion of a com-p
lete ran-dom Bayesian
<images/bayesnet.editor/dlg.generate.eps> [145]
<images/bayesnet.editor/dlg.generated.eps>
<images/bayesnet.editor/dlg.learn.eps> <images/bayesnet.editor/dlg.layout.eps>
[146] <images/bayesnet.editor/viewevidence.eps>
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[]
<images/bayesnet.editor/viewcliques.eps>
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<images/bayesnet.editor/menuview.eps> <images/bayesnet.editor/menuhelp.eps>
<images/bayesnet.editor/toolbar.eps>
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[]
[148] <images/bayesnet.editor/popupmenuleft.eps>
<images/bayesnet.editor/pop.r.setevidence.eps>
<images/bayesnet.editor/dlg.renamenode.eps> [149]
<images/bayesnet.editor/dlg.CPT.eps>
<images/bayesnet.editor/pop.r.addparent.eps>
<images/bayesnet.editor/pop.r.delparent.eps> [150]
<images/bayesnet.editor/pop.r.delchild.eps>
<images/bayesnet.editor/dlg.addvalue.eps>
<images/bayesnet.editor/pop.r.renvalue.eps>
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<images/bayesnet.editor/pop.r.delvalue.eps> [152] [153]
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[]\OT1/cmr/m/n/10 Create a class that de-rives from \OT1/cmtt/m/n/10 weka.class
ifiers.bayes.net.search.SearchAlgorithm\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 validation based, you prob-a-bly want to de-rive from \OT1/cmtt
/m/n/10 ScoreSearchAlgorithm\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 CISearchAlgorithm \OT1/cmr/m/n/10 or \OT1/cmtt/m/n/10 CVSearch
Algorithm \OT1/cmr/m/n/10 in-stead of de-riv-ing from \OT1/cmtt/m/n/10 SearchAl
gorithm
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\OT1/cmtt/m/n/10 public void buildStructure(BayesNet bayesNet, Instances instan
ces)\OT1/cmr/m/n/10 .
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\OT1/cmr/m/n/10 You can ac-cess the par-entsets us-ing \OT1/cmtt/m/n/10 bayesNe
t.getParentSet(iAttribute)
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\OT1/cmtt/m/n/10 bayesNet.getParentSet(iAttribute).AddParent(iParent, instances
)
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[]\OT1/cmr/m/n/10 Alternatively, im-ple-ment \OT1/cmtt/m/n/10 public void searc
h(BayesNet bayesNet, Instances
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\OT1/cmtt/m/n/10 weka.classifiers.bayes.net.estimate.BayesNetEstimator\OT1/cmr/
m/n/10 . Let's say
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\OT1/cmtt/m/n/10 public void updateClassifier(BayesNet bayesNet, Instance insta
nce)\OT1/cmr/m/n/10 ,
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\OT1/cmtt/m/n/10 public double[] distributionForInstance(BayesNet bayesNet, Ins
tance
[154]
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\OT1/cmr/m/n/10 Use the class \OT1/cmtt/m/n/10 weka.filters.unsupervised.attrib
ute.Discretize \OT1/cmr/m/n/10 to dis-cretize
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\OT1/cmtt/m/n/10 java weka.filters.unsupervised.attribute.Discretize -B 3 -i in
file.arff
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -B -N 10 -A
9 -C
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -N 15 -A 20
-C 3
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\OT1/cmtt/m/n/10 java weka.classifiers.bayes.net.BayesNetGenerator -F alarm.xml
-M 1000
[155] [156]
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[]\OT1/cmr/m/n/10 Only leave-one-out, k-fold and cu-mu-la-tive cross-validation
are im-ple-mented.
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\OT1/cmr/m/n/10 These im-ple-men-ta-tions can be made more ef-fi-cient and othe
r cross-validation
) [157] [158] [159] [160]
Chapter 9.
(./arff.tex
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[] \OT1/cmtt/m/n/10 % (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.na
sa.gov)[]
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[] \OT1/cmtt/m/n/10 @ATTRIBUTE class {Iris-setosa,Iris-versicolor,Iris-
virginica}[]
[161] (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmtt.fd) [162]
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\OT1/cmr/m/n/10 pos-si-ble val-ues: $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 nomina
l-name1$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT1/cmtt/m/n
/10 nominal-name2$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 , $\OML/cmm/m/it/10 <$\OT
1/cmtt/m/n/10 nominal-name3$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 ,
[163] [164] [165]) [166]
Chapter 10.
(./xrff.tex [167]
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[] \OT1/cmtt/m/n/10 <!ATTLIST attribute type (numeric|date|nominal|string|r
elational) #REQUIRED>[]
[168] [169] [170]) [171] [172]
Chapter 11.
(./converters.tex [173]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.CSVSaver -i iris.arff -o iris
.csv[]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseLoader -Q "select * fro
m employee"[]
[174]
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[] \OT1/cmtt/m/n/10 java weka.core.converters.DatabaseSaver -i iris.arff -T
iris[]
) [175] [176]
Chapter 12.
(./stemmers.tex
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\OT1/cmr/m/n/10 Weka con-tains a wrap-per class for the Snow-ball (home-page: [
][][][])
[177]
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[]\OT1/cmr/m/n/10 within the String-ToWord-Vec-tor (pack-age \OT1/cmtt/m/n/10 w
eka.filters.unsupervised.attribute\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 GenericObjectEditor.props\OT1/cmr/m/n/10 /
\OT1/cmtt/m/n/10 GenericPropertiesCreator.props \OT1/cmr/m/n/10 file
) [178]
Chapter 13.
(./databases.tex
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.mssqlserver2005 \OT1/cmr/m/n/10 - MS SQL
Server 2005 ($\OML/cmm/m/it/10 >\OT1/cmr/m/n/10 =$3.4.11,
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[]\OT1/cmtt/m/n/10 DatabaseUtils.props.odbc \OT1/cmr/m/n/10 - ODBC ac-cess via
Sun's ODBC/JDBC bridge,
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[179] [180]
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\OT1/cmtt/m/n/10 jdbc:postgresql://server.my.domain:5432/MyDatabase?user=$\OML/
cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$\OT1/cmtt/m/n/10 &passwor
d=$\OML/cmm/m/it/10 <$\OT1/cmtt/m/n/10 ...$\OML/cmm/m/it/10 >$
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[182]
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[][][][]
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\OT1/cmr/m/n/10 com-mand \OT1/cmtt/m/n/10 java weka.core.SystemInfo \OT1/cmr/m/
n/10 and check whether the prop-
) [183] [184]
Chapter 14.
(./windows_databases.tex [185] [186]) [187] [188] [189] [190]
Chapter 15.
(./research.tex
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\OT1/cmr/m/n/10 ter-face it is now easy to ex-tract all the pa-per ref-er-ences
via \OT1/cmtt/m/n/10 weka.core.ClassDiscovery
[191] (./includes/get_wekatechinfo.tex [192]
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[]\OT1/cmtt/m/n/7 TECHINFOHANDLERS=`$JAVA weka.core.ClassDiscovery $TECHINFOHAN
DLER $PACKAGES | grep "\. weka" | sed s/".*weka"/weka/g`[]
)) [193] [194]
Chapter 16.
(./using_api.tex
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[195]
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\OT1/cmr/m/n/10 support-vector ma-chine clas-si-fier \OT1/cmr/m/it/10 SMO \OT1/
cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.classifiers.functions\OT1/cmr/m/n/10
)
[196]
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\OT1/cmr/m/n/10 method, it is best to have a look at the \OT1/cmtt/m/n/10 setOp
tions(String[]) \OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 getOptions()
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[]\OT1/cmr/m/n/10 A \OT1/cmtt/m/n/10 SelectedTag \OT1/cmr/m/n/10 gets con-struc
ted us-ing the ar-ray of all pos-si-ble \OT1/cmtt/m/n/10 weka.core.Tag
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[] \OT1/cmtt/m/n/10 setEvaluation(new SelectedTag(EVALUATION_CC, TAGS_EVALU
ATION));[]
[197]
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\OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 attribute(int) \OT1/cmr/m/n/10 method. Thi
s method re-turns \OT1/cmtt/m/n/10 weka.core.Attribute
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[]\OT1/cmr/m/n/10 The \OT1/cmtt/m/n/10 DataSource \OT1/cmr/m/n/10 class (in-ner
class of the \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils
[198]
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\OT1/cmr/m/n/10 loaded into mem-ory and then pro-vided row-by-row (``pseudo-inc
remental'').
[199] [200]
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\OT1/cmr/m/n/10 The class \OT1/cmtt/m/n/10 wekaexamples.core.CreateInstances \O
T1/cmr/m/n/10 of the \OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 collectio
n[[]]
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\OT1/cmr/m/n/10 For all of the dif-fer-ent at-tribute types, WEKA uses the same
class, \OT1/cmtt/m/n/10 weka.core.Attribute\OT1/cmr/m/n/10 ,
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[]\OT1/cmtt/m/n/10 Attribute date = new Attribute("name_of_attr", "yyyy-MM-dd"
);[]
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[]\OT1/cmtt/m/n/10 Attribute string = new Attribute("name_of_attr", (FastVecto
r) null);[]
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[202]
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[]\OT1/cmtt/m/n/10 Attribute relational = new Attribute("name_of_attr", rel_st
ruct);[]
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[] \OT1/cmtt/m/n/10 Instances dataset = new Instances("Test-dataset", attribu
tes, 0);[]
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\OT1/cmr/m/n/10 to it, row by row. There are ba-si-cally two con-struc-tors of
the \OT1/cmtt/m/n/10 weka.core.Instance
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[]\OT1/cmtt/m/n/10 Instance(double weight, double[] attValues) \OT1/cmr/m/n/10
-- gen-er-ates an \OT1/cmtt/m/n/10 Instance
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[203]
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[]\OT1/cmtt/m/n/10 values[3] = data.attribute(3).addStringValue("This is a str
ing");[]
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[]\OT1/cmtt/m/n/10 Instances dataRel = new Instances(data.attribute(4).relatio
n(),0);[]
[204]
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\OT1/cmr/m/n/10 Simply gen-er-at-ing an ARFF file is achieved us-ing the static
\OT1/cmtt/m/n/10 DataGenerator.makeData
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\OT1/cmr/m/n/10 method. In or-der to write to a file, the gen-er-a-tor needs to
have a \OT1/cmtt/m/n/10 java.io.PrintWriter
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[] \OT1/cmtt/m/n/10 new java.io.BufferedWriter(new java.io.FileWriter("rdg1.ar
ff")));[]
[205]
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[]\OT1/cmr/m/n/10 Using the \OT1/cmtt/m/n/10 Randomize \OT1/cmr/m/n/10 fil-ter
(pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.instance\OT1/cmr/m/n/10 ).
[206] [207]
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[] \OT1/cmtt/m/n/10 remove.setInputFormat(data); // inform filter abo
ut dataset[]
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[] \OT1/cmtt/m/n/10 // **AFTER** setting
options[]
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[] \OT1/cmtt/m/n/10 Instances newData = Filter.useFilter(data, remove); // ap
ply filter[]
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\OT1/cmr/m/n/10 A com-mon trap to fall into is set-ting op-tions \OT1/cmr/bx/n/
10 af-ter \OT1/cmr/m/n/10 the \OT1/cmtt/m/n/10 setInputFormat(Instances)
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\OT1/cmr/m/n/10 with the \OT1/cmtt/m/n/10 Standardize \OT1/cmr/m/n/10 fil-ter (
pack-age \OT1/cmtt/m/n/10 weka.filters.unsupervised.attribute\OT1/cmr/m/n/10 ):
[208]
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\OT1/cmr/m/n/10 like \OT1/cmtt/m/n/10 FilteredClassifier \OT1/cmr/m/n/10 (pack-
age \OT1/cmtt/m/n/10 weka.classifiers.meta\OT1/cmr/m/n/10 ), \OT1/cmtt/m/n/10 F
ilteredClusterer
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\OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 weka.clusterers\OT1/cmr/m/n/10 ), \O
T1/cmtt/m/n/10 FilteredAssociator \OT1/cmr/m/n/10 (pack-age \OT1/cmtt/m/n/10 we
ka.associations\OT1/cmr/m/n/10 )
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\OT1/cmr/m/n/10 and \OT1/cmtt/m/n/10 FilteredAttributeEval\OT1/cmr/m/n/10 /\OT1
/cmtt/m/n/10 FilteredSubsetEval \OT1/cmr/m/n/10 (in \OT1/cmtt/m/n/10 weka.attri
buteSelection\OT1/cmr/m/n/10 ).
[209]
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\OT1/cmr/m/n/10 All in-cre-men-tal clas-si-fiers in WEKA im-ple-ment the in-ter
-face \OT1/cmtt/m/n/10 UpdateableClassifier
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row, by call-ing the
\OT1/cmtt/m/n/10 updateClassifier(Instance)
[210] [211]
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\OT1/cmr/m/n/10 The eval-u-a-tion step, in-clud-ing col-lec-tion of statis-tics
, is per-formed by the \OT1/cmtt/m/n/10 Evaluation
[212]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
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[] \OT1/cmtt/m/n/10 System.out.println(eval.toSummaryString("\nResults\n\n",
false));[]
[213]
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[]\OT1/cmtt/m/n/10 toClassDetailsString \OT1/cmr/m/n/10 -- out-puts TP/FP rates
, pre-ci-sion, re-call, F-measure,
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[]\OT1/cmtt/m/n/10 toCumulativeMarginDistributionString \OT1/cmr/m/n/10 -- out-
puts the cu-mu-la-tive mar-
[214]
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[] \OT1/cmtt/m/n/10 Instances unlabeled = DataSource.read("/some/where/unlabe
led.arff");[]
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[] \OT1/cmtt/m/n/10 double clsLabel = tree.classifyInstance(unlabeled.insta
nce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = cls.distributionForInstance(test.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.instance(i).toString(test.classIn
dex()) + " - ");[]
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[] \OT1/cmtt/m/n/10 System.out.print(test.classAttribute().value((int) pred
) + " - ");[]
[215]
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[]\OT1/cmr/m/it/10 build the model \OT1/cmr/m/n/10 with train-ing data -- call-
ing the \OT1/cmtt/m/n/10 buildClusterer(Instances)
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\OT1/cmr/m/n/10 Incremental clus-ter-ers in WEKA im-ple-ment the in-ter-face \O
T1/cmtt/m/n/10 UpdateableClusterer
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[]\OT1/cmr/m/it/10 update \OT1/cmr/m/n/10 the model row-by-row by call-ing the
the \OT1/cmtt/m/n/10 updateClusterer(Instance)
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[217] [218]
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[] \OT1/cmtt/m/n/10 System.out.println(ClusterEvaluation.evaluateClusterer(new
EM(), options));[]
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[] \OT1/cmtt/m/n/10 DensityBasedClusterer clusterer = new ... // the clust
erer to evaluate[]
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[] \OT1/cmtt/m/n/10 new Random(1)); // and rando
m number generator[]
[219]
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[] \OT1/cmtt/m/n/10 filter.setAttributeIndices("" + (data.classIndex() + 1)
);[]
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[] \OT1/cmtt/m/n/10 Instances dataClusterer = Filter.useFilter(data, filter
);[]
[220]
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[]\OT1/cmtt/m/n/10 clusterInstance(Instance) \OT1/cmr/m/n/10 -- de-ter-mines th
e clus-ter the \OT1/cmtt/m/n/10 Instance \OT1/cmr/m/n/10 would
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[] \OT1/cmtt/m/n/10 int cluster = clusterer.clusterInstance(dataset2.instan
ce(i));[]
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[] \OT1/cmtt/m/n/10 double[] dist = clusterer.distributionForInstance(datas
et2.instance(i));[]
[221]
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[]\OT1/cmr/m/it/10 single at-tribute eval-u-a-tors \OT1/cmr/m/n/10 -- per-form
eval-u-a-tions on sin-gle at-tributes. These
[222]
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[] \OT1/cmtt/m/n/10 AttributeSelectedClassifier classifier = new AttributeSel
ectedClassifier();[]
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[] \OT1/cmtt/m/n/10 evaluation.crossValidateModel(classifier, data, 10, new R
andom(1));[]
[223]
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\OT1/cmr/m/n/10 train-ing a clas-si-fier, then the fil-ter ap-proach is the rig
ht one. The \OT1/cmtt/m/n/10 AttributeSelection
[224] [225]
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\OT1/cmr/m/n/10 ing the data or use an ex-plicit con-verter (all savers are lo-
cated in the \OT1/cmtt/m/n/10 weka.core.converters
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[]\OT1/cmr/m/n/10 Use the \OT1/cmtt/m/n/10 DataSink \OT1/cmr/m/n/10 class (in-n
er class of \OT1/cmtt/m/n/10 weka.core.converters.ConverterUtils\OT1/cmr/m/n/10
),
[226] [227]
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\OT1/cmr/m/n/10 tions, us-ing the \OT1/cmtt/m/n/10 ThresholdCurve \OT1/cmr/m/n/
10 class (pack-age \OT1/cmtt/m/n/10 weka.classifiers.evaluation\OT1/cmr/m/n/10
).
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\OT1/cmr/m/n/10 in-stance of the \OT1/cmtt/m/n/10 ThresholdVisualizePanel \OT1/
cmr/m/n/10 class (pack-age \OT1/cmtt/m/n/10 weka.gui.visualize\OT1/cmr/m/n/10 )
.
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[]\OT1/cmtt/m/n/10 Instances curve = tc.getCurve(eval.predictions(), classInde
x);[]
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[] \OT1/cmtt/m/n/10 Utils.doubleToString(ThresholdCurve.getROCArea(curve),4)+
")");[]
[228]
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[] \OT1/cmtt/m/n/10 JFrame jf = new JFrame("Weka Classifier Tree Visualizer:
J48");[]
[229] [230] [231]
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[] \OT1/cmtt/m/n/10 Object o[] = SerializationHelper.readAll("/some/where/j48
.model");[]
) [232]
Chapter 17.
(./extending.tex [233] (./extending_classifier.tex
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[235] [236] [237]
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[] \OT1/cmtt/m/n/10 result.addAll(Arrays.asList(super.getOptions())); // sup
erclass[]
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\OT1/cmr/m/n/10 re-turns the class prob-a-bil-i-ties ar-ray of the pre-dic-tion
for the given \OT1/cmtt/m/n/10 weka.core.Instance
[238]
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\OT1/cmr/m/n/10 bel in-dex based on the prob-a-bil-i-ties ar-ray that the \OT1/
cmtt/m/n/10 distributionForInstance(Instance)
[239] [240] [241]
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[]\OT1/cmr/m/it/10 multi-instance clas-si-fiers \OT1/cmr/m/n/10 -- in or-der to
sig-nal that the spe-cial multi-instance
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\OT1/cmr/m/n/10 instance, \OT1/cmtt/m/n/10 weka.core.MultiInstanceCapabilitiesH
andler\OT1/cmr/m/n/10 , which re-turns
[242]
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\OT1/cmr/m/n/10 in case of de-scen-dants of the \OT1/cmtt/m/n/10 weka.classifie
r.MultipleClassifiersCombiner\OT1/cmr/m/n/10 ,
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[] \OT1/cmtt/m/n/9 result.enable(Capability.NOMINAL_CLASS); // only nominal
classes allowed[]
[243]
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[245]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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\OT1/cmr/m/n/10 class. The su-per-class for clas-si-fier unit tests is \OT1/cmt
t/m/n/10 weka.classifiers.AbstractClassifierTest\OT1/cmr/m/n/10 .
) [246] (./extending_filter.tex
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\OT1/cmtt/m/n/10 weka.filters.Filter \OT1/cmr/m/n/10 su-per-class does not im-p
le-ment the \OT1/cmtt/m/n/10 weka.core.OptionHandler
[247] [248]
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\OT1/cmr/m/n/10 de-ter-mine what the out-put for-mat will be (and set if via \O
T1/cmtt/m/n/10 setOutputFormat(Instances)\OT1/cmr/m/n/10 )
[249] (./includes/BatchFilter.tex) [250] (./includes/BatchFilter2.tex) [251]
(./includes/BatchFilter3.tex)
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[252] (./includes/StreamFilter.tex) [253] [254] (./includes/SimpleBatch.tex
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[] \OT1/cmtt/m/n/8 return "A simple batch filter that adds an additional a
ttribute 'blah' at the end "[]
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [255] [256] (./includes/SimpleStream.tex
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[] \OT1/cmtt/m/n/8 result.enable(Capability.NO_CLASS); //// filter doesn't
need class to be set//[]
) [257]
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\OT1/cmr/m/n/10 bu-tions into ac-count. Must im-ple-ment the \OT1/cmtt/m/n/10 w
eka.filters.SupervisedFilter
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\OT1/cmr/m/n/10 The Javadoc gen-er-a-tion works the same as with clas-si-fiers.
See sec-tion ``Javadoc''
[258]
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[] \OT1/cmtt/m/n/10 weka.core.CheckOptionHandler -W classname [-- additional pa
rameters][]
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[]\OT1/cmr/m/n/10 Here is an ex-am-ple call for \OT1/cmtt/m/n/10 weka.filters.u
nsupervised.attribute.ReplaceMissingValues
) [259] (./extending_other_algorithms.tex
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\OT1/cmr/m/n/10 like the \OT1/cmtt/m/n/10 FilteredClusterer \OT1/cmr/m/n/10 tha
t fil-ters the data on-the-fly for the base-clusterer.
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\OT1/cmr/m/n/10 one way or an-other. \OT1/cmtt/m/n/10 RandomizableClusterer\OT1
/cmr/m/n/10 , \OT1/cmtt/m/n/10 RandomizableDensityBasedClusterer
[260]
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.c
lusterers.AbstractClustererTest
[261]
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\OT1/cmr/m/n/10 The an-ces-tor for all eval-u-a-tors is the \OT1/cmtt/m/n/10 we
ka.attributeSelection.ASEvaluation
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[262]
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\OT1/cmr/m/n/10 The an-ces-tor for all search al-go-rithms is the \OT1/cmtt/m/n
/10 weka.attributeSelection.ASSearch
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ttributeSelection.AbstractEvaluatorTest
[263]
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\OT1/cmr/m/n/10 can also im-ple-ment a meta-associator, de-rived from \OT1/cmtt
/m/n/10 SingleAssociatorEnhancer\OT1/cmr/m/n/10 .
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[] \OT1/cmtt/m/n/10 public void buildAssociations(Instances data) throws Excep
tion {[]
[264]
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[] \OT1/cmtt/m/n/10 AbstractAssociator.runAssociator(new FunkyAssociator(),
args);[]
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[] \OT1/cmtt/m/n/10 weka.associations.CheckAssociator -W classname [further op
tions][]
)
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\OT1/cmr/m/n/10 For ju-nit tests, you can sub-class the \OT1/cmtt/m/n/10 weka.a
ssociations.AbstractAssociatorTest
[265] (./extending_explorer.tex
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[]\OT1/cmtt/m/n/10 weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
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[]\OT1/cmr/m/n/10 adding the class-name of your class to the Tabs prop-erty in
the \OT1/cmtt/m/n/10 Explorer.props
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "SQL"; // what's displayed as tab-title, e.g.,
Classify[]
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[] \OT1/cmtt/m/n/10 return "Retrieving data from databases"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
[266]
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[267]
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[] \OT1/cmtt/m/n/10 /** the Load button - makes the data available in the Exp
lorer */[]
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[] \OT1/cmtt/m/n/10 Instances data = query.retrieveInstances(m_Viewer.g
etQuery());[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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<images/extending/SqlPanel.eps> [269]
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[] \OT1/cmtt/m/n/10 /** sends notifications when the set of working instances
gets changed*/[]
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[] \OT1/cmtt/m/n/10 protected PropertyChangeSupport m_Support = new PropertyC
hangeSupport(this);[]
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[] \OT1/cmtt/m/n/10 return "DataGeneration"; // what's displayed as tab-ti
tle, e.g., Classify[]
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[] \OT1/cmtt/m/n/10 return "Generating artificial datasets"; // the toolti
p of the tab[]
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[] \OT1/cmtt/m/n/10 /** ignored, since we "generate" data and not receive it
*/[]
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[] \OT1/cmtt/m/n/10 /** PropertyChangeListener which will be notified of valu
e changes. */[]
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[] \OT1/cmtt/m/n/10 public void addPropertyChangeListener(PropertyChangeListe
ner l) {[]
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[] \OT1/cmtt/m/n/10 public void removePropertyChangeListener(PropertyChangeLi
stener l) {[]
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[270]
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[] \OT1/cmtt/m/n/10 protected GenericObjectEditor m_GeneratorEditor = new Gen
ericObjectEditor();[]
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[] \OT1/cmtt/m/n/10 protected JButton m_ButtonGenerate = new JButton("Generat
e");[]
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[] \OT1/cmtt/m/n/10 DataGenerator generator = (DataGenerator) m_Generator
Editor.getValue();[]
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[] \OT1/cmtt/m/n/10 String cname = generator.getClass().getName().replace
All(".*\\.", "");[]
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[] \OT1/cmtt/m/n/10 cmd += " "+Utils.joinOptions(((OptionHandler)genera
tor).getOptions());[]
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[] \OT1/cmtt/m/n/10 DataGenerator.makeData(generator, generator.getOpti
ons());[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
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[] \OT1/cmtt/m/n/10 Instances data = new Instances(new StringReader(m_O
utput.getText()));[]
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[] \OT1/cmtt/m/n/10 // set data in preprocess panel (also notifies of c
apabilties changes)[]
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[] \OT1/cmtt/m/n/10 getExplorer().getPreprocessPanel().setInstances(dat
a);[]
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[] \OT1/cmtt/m/n/10 getExplorer(), "Error generating data:\n" + ex.ge
tMessage(),[]
<images/extending/GeneratorPanel.eps>
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[272] <images/extending/ExperimentPanel.eps>
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[273]
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\OT1/cmr/m/n/10 home di-rec-tory) un-der the key \OT1/cmtt/m/n/10 weka.gui.visu
alize.plugins.VisualizePlugin\OT1/cmr/m/n/10 .
[274] <images/extending/PredictionTable.eps> [275]
<images/extending/PredictionError.eps>)) [276]
Chapter 18.
(./technical_documentation.tex
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[277]
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[][][]\OT1/cmtt/m/n/10 export CLASSPATH=$CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
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[][][]\OT1/cmtt/m/n/10 setenv CLASSPATH $CLASSPATH:/home/johndoe/jars/mysql-con
nector-java-5.1.7-bin.jar
[278]
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[279]
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\OT1/cmr/m/n/10 Here's once again how you start the Weka Main-GUI \OT1/cmr/bx/n
/10 with \OT1/cmr/m/n/10 your cur-rent [][]\OT1/cmtt/m/n/10 CLASSPATH
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[][]\OT1/cmtt/m/n/10 java -Xmx128m -classpath "%CLASSPATH%;weka.jar" weka.gui.M
ain
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[][][][][]
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[280]
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[][][][][]
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[281]
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\OT1/cmr/m/n/10 run-time (rather than us-ing only those spec-i-fied in the [][]
\OT1/cmtt/m/n/10 GenericObjectEditor.props
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[282]
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[283]
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\OT1/cmr/m/n/10 Where the [][]\OT1/cmtt/m/n/10 <key> []\OT1/cmr/m/n/10 cor-re-s
ponds to a key in the [][]\OT1/cmtt/m/n/10 GenericPropertiesCreator.props
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[]\OT1/cmtt/m/n/10 # exclude all ResultListeners that also implement the Result
Producer interface[]
[284]
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[][][]\OT1/cmtt/m/n/10 java -classpath "/development:/distribution/weka.jar" we
ka.gui.GUIChooser
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[285]
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<images/technical/En-goe-353.eps> [286]
<images/technical/En-goe-filter-353.eps> [287]
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[288]
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[] \OT1/cmtt/m/n/10 <!ATTLIST option type (flag | single | hyphens | quotes)
"single">[]
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[289]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48">[]
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[] \OT1/cmtt/m/n/10 <options type="classifier" value="weka.classifiers.trees
.J48"/>[]
[290]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifiers.meta
.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.meta.AdaBoostM1">[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.clas
sifiers.trees.J48"/>[]
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[] \OT1/cmtt/m/n/9 <options type="classifier" value="weka.classifier
s.trees.J48"/>[]
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[291]
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[292]
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[]\OT1/cmr/m/n/10 The DTD for KOML can be found at [][][][]
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\OT1/cmr/m/n/10 put file (see op-tions of [][]\OT1/cmtt/m/n/10 weka.experiment.
Experiment []\OT1/cmr/m/n/10 and [][]\OT1/cmtt/m/n/10 weka.experiment.RemoteExp
eriment
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\OT1/cmr/m/n/10 The GraphVi-su-al-izer ([][]\OT1/cmtt/m/n/10 weka.gui.graphvisu
alizer.GraphVisualizer[]\OT1/cmr/m/n/10 ) can save
[293]
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[] \OT1/cmtt/m/n/10 <!ELEMENT NETWORK ( NAME, ( PROPERTY | VARIABLE | DEFINIT
ION )* )>[]
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[] \OT1/cmtt/m/n/10 <!ATTLIST VARIABLE TYPE (nature|decision|utility) "
nature">[]
) [294]
Chapter 19.
(./other_resources.tex
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[295]
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[][][]\OT1/cmtt/m/n/10 java weka.core.converters.CSVLoader filename.csv > filen
ame.arff
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\OT1/cmr/m/n/10 Get-ting [][]\OT1/cmtt/m/n/10 java.lang.NoClassDefFoundError []
\OT1/cmr/m/n/10 ex-cep-tions? Most likely your \OT1/cmr/bx/n/10 CLASS-
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[297]
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[298]
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[]\OT1/cmtt/m/n/10 /usr/share/themes/Mist/gtk-2.0/gtkrc:48: Engine "mist" is un
supported, ignoring[]
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[] \OT1/cmtt/m/n/10 at weka.gui.explorer.PreprocessPanel.addPropertyChang
eListener(PreprocessPanel.java:519)[]
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[] \OT1/cmtt/m/n/10 at javax.swing.plaf.synth.SynthPanelUI.installListene
rs(SynthPanelUI.java:49)[]
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[] \OT1/cmtt/m/n/10 at javax.swing.plaf.synth.SynthPanelUI.installUI(Synt
hPanelUI.java:38)[]
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[299]
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[]\OT1/cmr/m/n/10 Java VM op-tions ([][][][])
) (./bibliography.tex [300]
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[]\OT1/cmr/m/it/10 Weka Ex-am-ples \OT1/cmr/m/n/10 -- A col-lec-tion of ex-am-p
le classes, as part of
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\OT1/cmr/m/n/10 an ANT project, in-cluded in the WEKA snap-shots (avail-able
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\OT1/cmr/m/n/10 for down-load on the home-page) or di-rectly from sub-ver-sion
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[][][][]
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[302]
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[]\OT1/cmr/m/n/9 Cozman. See [][][][]
) [303] (./manual.aux) )
(see the transcript file for additional information)
Output written on manual.dvi (303 pages, 966808 bytes).
Transcript written on manual.log.
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