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Enjoy,
Christian Borgelt
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To start the program from the jar file, type java -jar reggui.jar or java -classpath reggui.jar regress.RegGUI, to start it from the compiled sources, type java regress.RegGUI.
The dialog box contains five tabs, three of which correspond to the command line programs dom (domain determination, contained in the table package) mpr (multivariate polynomial regression induction), and mpx (multivariate polynomial regression execution, both contained in the MPR package).
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On the first tab the format of the data file can be specified:
(Note that this tab is not executable.)
It is assumed that a data file consists of several records, each of which contains several fields (but all records have the same number of fields). As their names indicate, record separators separate records and field separators separate fields within a record. Blanks are characters that are used only to fill fields, for example to achieve a certain width, so that fields of different records are aligned in a text editor. They are removed when the file is read for processing.
By default it is assumed that the first record of the data file contains the names of fields. If this is not the case, the corresponding box should be unchecked, so that default names (field numbers, starting with 1) are generated.
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With the second tab attribute domains can be determined:
The regression model induction program needs as input a description of the domains of the attributes. This tab serves the purpose to generate such a domain description from the data file, which is done when this it is in front and the "execute" button is pressed. The attribute types are determined automatically if the corresponding box is checked. This may fail: If a nominal attribute has numbers as values, which have no numeric meaning, the program will still assume that the attribute is numeric. To correct such things the generated domain file has to be edited. This can be done by pressing the Edit button, which opens a simple text editor.
This tab also lets you locate the underlying programs if they cannot be found through the "path" environment variable. If you place the programs into the same directory where you start this graphical user interface, locating the programs should not be necessary.
If the external C programs are not available, the program is able to perform the same operations based on internal Java routines, which is done if the box "Use external programs" is unchecked (default).
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With the third tab a regression model can be induced:
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With the fourth tab a regression model tree can be executed on a data set:
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(MIT license, or more precisely Expat License; to be found in the file mit-license.txt in the directory regress/doc in the source package, see also opensource.org and wikipedia.org)
© 2004-2014 Christian Borgelt
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Download page with most recent version.
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E-mail: |
christian.borgelt@softcomputing.es christian@borgelt.net | |
Snail mail: Old |
Christian Borgelt Intelligent Data Analysis and Graphical Models Research Unit European Center for Soft Computing Edificio Cientifico-Tecnológico, 3a Planta c/ Gonzalo Gutiérrez Quirós s/n 33600 Mieres Asturias, Spain | |
Phone: | +34 985 456545 | |
Fax: | +34 985 456699 |
Old E-mail: |
christian.borgelt@cs.uni-magdeburg.de borgelt@iws.cs.uni-magdeburg.de | |
Old Snail mail: |
Christian Borgelt Working Group Neural Networks and Fuzzy Systems Department of Knowledge Processing and Language Engineering School of Computer Science Otto-von-Guericke-University of Magdeburg Universitätsplatz 2 D-39106 Magdeburg Germany | |
Old Phone: | +49 391 67 12700 | |
Old Fax: | +49 391 67 12018 | |
Old Office: | 29.015 |
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