A .NET Wrapper for SVMlight

Author: Krishnamurthy Koduvayur Viswanathan

Features:

Strongly typed parameters for svm_learn and svm_classify

Supports all kernels provided by svmlight

Supports most commonly used parameters (including kernel params and cross validation)

Can provide support for others parameters upon request

Constructs training and test sets from a given dataset and percentage split

Creates a list of all misclassified instances for further analysis

10 Fold cross validation

Extracts information from output files generated