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SVMClassificationProbability Methods

The SVMClassificationProbability type exposes the following members.

Methods
  NameDescription
Public methodClassify(Matrix)
Classifies the observation matrix.
(Inherited from SVMClassification.)
Public methodClassify(Vector)
Classifies observation vector into one of the classes.
(Inherited from SVMClassification.)
Public methodClassify(Matrix, IntegerArray)
Classifies the observation matrix.
(Inherited from SVMClassification.)
Public methodClassify(Vector, Vector)
Classifies observation vector into one of the classes and estimate probabilities.
Public methodClear
Delete model
(Inherited from SVM.)
Public methodDispose
Disposing method
(Inherited from SVM.)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodEstimateTrainArguments (Inherited from SVMClassification.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetObjectData
The object optimized serialization method.
(Inherited from SVM.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodLoad(String)
Load model from file.
(Inherited from SVMClassification.)
Public methodLoad(String, String, String)
Load model from files.
(Overrides SVMClassificationLoad(String, String, String).)
Public methodSave(String)
Save model to file.
(Inherited from SVMClassification.)
Public methodSave(String, String, String)
Save model to files.
(Inherited from SVM.)
Public methodStatic memberSetRandomSeed
Set random seed for LIBSVM classification train with probability estimation.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTrain
The BaseClassifier interface function. Train TrainCSVC classifier by default.
(Inherited from SVMClassification.)
Public methodTrainCSVC
Train C - Support Vector Classifier
(Inherited from SVMClassification.)
Public methodTrainNuSVC
Train \nu - Support Vector Classifier
(Inherited from SVMClassification.)
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See Also