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libsvm

In progress.

An interface to the libsvm library for creating and using Support Vector Machines.

Constants

svm_type

C-SVC NU-SVC ONE-CLASS EPSILON-SVR NU-SVR

kernel_type

LINEAR POLY RBF SIGMOID PRECOMPUTED

Procedures

<procedure>(make-svm-parameter #!key (svm-type C-SVC)

           (kernel-type LINEAR)
           (degree 0)  ; for poly 
           (gamma 0.0) ;	for poly/rbf/sigmoid
           (coef0 0.0) ;	for poly/sigmoid
           ;; these are for training only 
           (cache-size 0.0) ; in MB 
           (eps 0.001) ;	stopping criteria
           (C 0.0) ;	for C_SVC, EPSILON_SVR and NU_SVR
           (nr-weight 0) ;	 for C_SVC
           (nu 0.0) ;	for NU_SVC, ONE_CLASS, and NU_SVR
           (p 0.0) ; for EPSILON_SVR
           (shrinking 0) ;	use the shrinking heuristics
           (probability 0) ; do probability estimates
           )</procedure>

Returns a pointer to an instance of svm_parameter.

[procedure] (svm-check-parameter problem parameter)

Returns #f if parameter set is ok, else a string giving description of error.

[procedure] (svm-check-probability-model model)
[procedure] (svm-cross-validation problem parameter number-folds targets)
[procedure] (svm-destroy-param parameter)
[procedure] (svm-free-and-destroy model-array)
[procedure] (svm-free-model-content model)
[procedure] (svm-get-labels model label-array)
[procedure] (svm-get-nr-class model)

Returns the number of classes for given model.

[procedure] (svm-get-svm-type model)

Returns the svm-type of the given model.

[procedure] (svm-get-svr-probability model)

Returns the SVR probability from given model.

[procedure] (svm-load-model filename)

Reads model definition from given filename and returns a pointer to the model.

[procedure] (svm-predict model svm-node)

Returns prediction of model for given svm-node.

<procedure>(svm-predict-probability model svm-node prob-estimates)</probability> Returns prediction of model for given svm-node, storing probability for each class in prob-estimates.

[procedure] (svm-predict-values model svm-node dec-values)

Returns prediction of model for given svm-node, storing class predictions in dec-values.

[procedure] (svm-save-model filename model)

Saves given model to a file called filename. Returns 0 if OK, else 1 if error.

[procedure] (svm-train problem parameter)

Returns a pointer an SVM model trained using given problem and parameter set.

Examples

Author

Peter Lane.

License

GPL version 3.0.

Requirements

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