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GaussianTDistance, TInput Methods |
The GaussianTDistance, TInput generic type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Clone |
Creates a new object that is a copy of the current instance.
|
| Distance |
Computes the squared distance in feature space
between two points given in input space.
|
| Equals | Indicates whether this instance and a specified object are equal. (Inherited from ValueType.) |
| Function |
Gaussian Kernel function.
|
| GetHashCode | Returns the hash code for this instance. (Inherited from ValueType.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| ToString | Returns the fully qualified type name of this instance. (Inherited from ValueType.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
See Also