(PECL svm >= 0.1.0) Construct a new SVMModel
(PECL svm >= 0.1.0) Create a SVMModel based on training data
(PECL svm >= 0.1.0) Set training parameters
(PECL svm >= 0.1.0) Predict a value for previously unseen data
(PECL svm >= 0.1.4) Return class probabilities for previous unseen data
(PECL svm >= 0.1.0) Construct a new SVM object
(PECL svm >= 0.1.0) Return the current training parameters
(PECL svm >= 0.1.5) Get the SVM type the model was trained with
(PECL svm >= 0.1.0) Test training params on subsets of the training data.
(PECL svm >= 0.1.0) Save a model to a file
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