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https://github.com/fracpete/tclass-weka-package

TClass is a WEKA package for classifying multivariate time series.
https://github.com/fracpete/tclass-weka-package

java plugin timeseries weka

Last synced: 1 day ago
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TClass is a WEKA package for classifying multivariate time series.

Host: GitHub
URL: https://github.com/fracpete/tclass-weka-package
Owner: fracpete
License: gpl-3.0
Created: 2015-03-15T22:18:57.000Z (over 9 years ago)
Default Branch: master
Last Pushed: 2020-10-12T19:49:52.000Z (almost 4 years ago)
Last Synced: 2023-03-23T23:52:04.973Z (over 1 year ago)
Topics: java, plugin, timeseries, weka
Language: Java
Homepage:
Size: 6.84 MB
Stars: 2
Watchers: 2
Forks: 2
Open Issues: 0
Metadata Files:
- Readme: README.legacy
- License: COPYING

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README

INSTALLATION
------------

These instructions assume a Unix-type operating system. Please modify
them to suit your needs for other operating systems.

1) Download the most recent version of TClass from:

http://www.cse.unsw.edu.au/~waleed/tclass/

It should be called something like: tclass-1.0.0.jar

2) Decompress the jar file as follows:

% jar xvf tclass-1.0.0.jar

3) Set TCLASS_HOME to be the directory that this README is in,
which should be called something like "tclass". This is typically done
by typing:

% cd tclass
% export TCLASS_HOME=$PWD

or for csh-type shells:

% setenv TCLASS_HOME $PWD.

4) Add $TCLASS_HOME/tclass.jar and $TCLASS_HOME/weka.jar to your
CLASSPATH environment variable. This is done under sh and its
derivatives by typing:

% export CLASSPATH=$TCLASS_HOME/tclass.jar:$TCLASS_HOME/weka.jar:${CLASSPATH}

and under csh and its derivatives by typing

% setenv CLASSPATH ${TCLASS_HOME}/tclass.jar:${TCLASS_HOME}/weka.jar:${CLASSPATH}

GETTING STARTED
---------------

Once you've set up, go to the data/ directory which includes several
examples. For example, try the following:

% cd $TCLASS_HOME/data/techsupport
% java tclass.TClass

This starts TClass running.

FILES INCLUDED
--------------

This package includes the following subdirectories:

- data: Contains three small application domains. More complete data
sets are available from the TClass web site. techsupport is a simple
pedagogical example -- see my PhD thesis. cylbellfunnel is a
traditional problem in time series classification. Auslan is a
real-word data set consisting of recordings of two signs (come and
thank) from Auslan. This dataset has been smoothed to simplify
classification. The larger version of this dataset is available at:
http://kdd.ics.uci.edu/databases/auslan2/auslan.html

- doc: Documentation for TClass.

- src: The source code for TClass.

- tclass.jar: Jar file including all class files.

- Makefile: Make file to make the jar files and documentation.

- weka.jar: This is the jar file of Weka classes from Weka version
3.2.3. It is included here for completeness and self-containment.

BUGS, FEATURES, SUPPORT
-----------------------

I am happy to answer all questions and entertain bug fixes. Please
e-mail me at [email protected]. It would be appreciated if you
could include [TClass] in the subject of your e-mail.

Any additional metafeature extractors, segmenters etc, etc,
are VERY VERY welcome!

LINKS
-----

Weka: http://www.cs.waikato.ac.nz/ml/weka/

- TClass uses Weka for the machine learning backend.

Waleed Kadous' PhD:

- http://www.cse.unsw.edu.au/~waleed/phd/

Includes details of what TClass is about, how it works internally etc.

TClass Home:

- http://www.cse.unsw.edu.au/~waleed/tclass/

THANKS
------

Ultimate thanks go to The Creator for giving me the abilities to write
this program.

Special thanks go to the developers (Eibe Frank, Leonard Trigg, Mark
Hall, Richard Kirkby) of Weka for producing such a wonderful machine
learning toolkit. Weka 3.2.3 is included in this package under the
terms of the GNU General Public License.

Thanks to Steve Moyle for encouraging me to release TClass.

Thanks to Todd Wright for providing the sign language data.

LICENSE
-------

This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or (at
your option) any later version.

This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.