SVMRegression Class |
Namespace: FinMath.MachineLearning.SVM
[SerializableAttribute] public class SVMRegression : SVM
The SVMRegression type exposes the following members.
| Name | Description | |
|---|---|---|
| SVMRegression |
Default constructor
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| SVMRegression(SerializationInfo, StreamingContext) |
The object deserialization constructor.
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| Name | Description | |
|---|---|---|
| Kernel |
SVM kernel type.
(Inherited from SVM.) | |
| SupportVectorsNumber |
The number of support vectors
(Inherited from SVM.) | |
| TrainIterationsElapsed |
Returns last model train optimizations iterations number.
| |
| TrainTimeElapsed |
Returns last model train time.
| |
| Type |
Classification model type.
|
| Name | Description | |
|---|---|---|
| Classify |
Predicts value in observation point.
| |
| Clear |
Delete model
(Inherited from SVM.) | |
| Dispose |
Disposing method
(Inherited from SVM.) | |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
| GetObjectData |
The object optimized serialization method.
(Inherited from SVM.) | |
| GetType | Gets the Type of the current instance. (Inherited from Object.) | |
| Load |
Load model from files.
(Overrides SVMLoad(String, String, String).) | |
| Save |
Save model to files.
(Inherited from SVM.) | |
| ToString | Returns a string that represents the current object. (Inherited from Object.) | |
| TrainEpsilonSVR |
Train \epsilon - Support Vector Regression
| |
| TrainNuSVR |
Train \nu - Support Vector Regression
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