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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) (gamma 0.0) (coef0 0.0) (cache-size 0.0) (eps 0.001) (C 0.0) (nr-weight 0) (nu 0.0) (p 0.0) (shrinking 0) (probability 0))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)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
License
GPL version 3.0.