SVMSvmKernelType Class |
SVM kernel type
Inheritance HierarchyNamespace: Emgu.CV.ML
Assembly: Emgu.CV.World.NetStandard (in Emgu.CV.World.NetStandard.dll) Version: 1.0.0
SyntaxThe SVMSvmKernelType type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | CompareTo | Compares this instance to a specified object and returns an indication of their relative values. (Inherited from Enum.) |
| Equals | Returns a value indicating whether this instance is equal to a specified object. (Inherited from Enum.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Returns the hash code for the value of this instance. (Inherited from Enum.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| GetTypeCode | Returns the type code of the underlying type of this enumeration member. (Inherited from Enum.) |
| HasFlag | Determines whether one or more bit fields are set in the current instance. (Inherited from Enum.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ToString | Converts the value of this instance to its equivalent string representation. (Inherited from Enum.) |
| ToString(IFormatProvider) | Obsolete. This method overload is obsolete; use ToString. (Inherited from Enum.) |
| ToString(String) | Converts the value of this instance to its equivalent string representation using the specified format. (Inherited from Enum.) |
| ToString(String, IFormatProvider) | Obsolete. This method overload is obsolete; use ToString(String). (Inherited from Enum.) |
Fields| Name | Description | |
|---|---|---|
  | Chi2 |
Exponential Chi2 kernel, similar to the RBF kernel
|
| Custom |
Custom svm kernel type
|
| Inter |
Histogram intersection kernel. A fast kernel. K(xi,xj)=min(xi,xj).
|
| Linear |
No mapping is done, linear discrimination (or regression) is done in the original feature space. It is the fastest option. d(x,y) = x y == (x,y)
|
| Poly |
polynomial kernel: d(x,y) = (gamma*(xy)+coef0)^degree
|
| Rbf |
Radial-basis-function kernel; a good choice in most cases: d(x,y) = exp(-gamma*|x-y|^2)
|
| Sigmoid |
sigmoid function is used as a kernel: d(x,y) = tanh(gamma*(xy)+coef0)
|
| value__ |
See Also