(PECL svm >= 0.1.4) Return class probabilities for previous unseen data

(PECL svm >= 0.1.0) Create a SVMModel based on training data

(PECL svm >= 0.1.0) Construct a new SVMModel

(PECL svm >= 0.1.0) Set training parameters

(PECL svm >= 0.1.0) Predict a value for previously 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 >= 0.1.5) Returns true if the model has probability information