SHOGUN 0.6.4 (Default branch)


 
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Old 08-15-2008
SHOGUN 0.6.4 (Default branch)

ImageSHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.License: GNU General Public License (GPL)Changes:
This release contains major feature enhancements and bugfixes. It implements 2-norm Multiple Kernel Learning, has greatly extended documentation, adds a Gaussian kernel for 32-bit floating point features, and implements the test suite for most of the functions for most interfaces. It also fixes a bug in filtering out duplicate signals in the signal handler, and fixes random number generator initialization.Image

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svm-grid(1)							   User Manuals 						       svm-grid(1)

NAME
svm-grid - a parameter selection tool for LIBSVM SYNOPSIS
svm-grid [-log2c begin,end,step ] [ -log2g begin,end,step ] [ -v fold ] [ -svmtrain pathname ] [ -gnuplot pathname ] [ -out pathname ] [ -png pathname ] [ additional_parameters_for_svm-train ] dataset DESCRIPTION
grid.py is a parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel. It uses cross validation (CV) technique to estimate the accuracy of each parameter combination in the specified range and helps you to decide the best parameters for your problem. FILES
See svm-train(1) for the format of dataset EXAMPLES
svm-grid -log2c -5,5,1 -log2g -4,0,1 -v 5 -m 300 heart_scale BUGS
Please report bugs to the Debian BTS. AUTHOR
Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging) SEE ALSO
svm-train(1), svm-predict(1) Linux DEC 2009 svm-grid(1)