Cancer Imaging Phenomics Toolkit (CaPTk)
1.6.2.Alpha
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This applicatiparameterizeachine">Support Vector Machineparameterize
REQUIREMENTS: Input features file (CSV) and a target label file (CSV).
USAGE:parameterize
TrainingModule -f C:/TestFeatures.csv -l C:/TestLabels.csv -o C:/OutputDirectory -c 1 -n 2 -k 40c is the classifier type (-c 1 for Linear SVM, -c 2 for RBF SVM) n is the configuration type (-n 1 for cross-validation, -n 2 for split train-test) k is the # of folds for cross-validation configuration, and size of train dataset for split train-test configuration