Description:Classify a set of unlabeled vectors using a trained support vector machine.

Usage:classify [options] -train <filename> -weights <filename> -test <filename> -label <filename>

Input:Note that, if the given weights file was trained on an externally defined kernel (using the '-matrix' option to compute-weights), then the file specified by the '-test' option should contain a kernel matrix, rather than test set examples. The kernel matrix is an n+1 (rows) by m+1 (columns) RDB matrix, where n is the number of test examples and m is the number of training examples. The first row and column contain data labels. The matrix entry for row x, column y, contains the kernel value K(x,y). If a kernel matrix is supplied in place of the test set, then no training set need be specified. However, if the kernel is normalized or is radial basis, then the '-selftrain' and '-selftest' files must be supplied (see below).

- -train <filename> - an RDB file of training examples. The first column contains labels, and the remaining columns contain real-valued features.
- -weights <filename> - a two-column RDB file of weights, as output from compute-weights. The kernel parameters are read from the header of this file.
- -test <filename> - an RDB file of test examples to be classified.
- -label <name> - the label that appears in the first row, first column of the data file. (This parameter is admittedly useless and will be removed from future versions of the program.)

Output:A three-column RDB file containing data labels, classifications (-1 or 1) and discriminants for the test set.

Options:

- -selftrain <filename> - Read from the given file a series of n values of the form K(x,x), where K is the base kernel function and x is an element in the training set. This option is only necessary if the base kernel function is supplied from a file (using the '-matrix' option) and the kernel is normalized or radial basis. The input file should be in RDB format, with data labels in the first column and values in the second column.
- -selftest <filename> - Similar to '-selftrain', but for the test set.
- -noclasses - Compute and print the kernel matrix to stdout. Do not compute the classifications.
- -notime - Do not include timing information in the output header.
- -verbose 1|2|3|4|5 - Set the verbosity level of the output to stderr. The default level is 2.

Calls:cat, column, headchg, awk

SVM