|
EuclideanLoss Class |
Euclidean loss, also known as zero-one-loss. This class
provides exactly the same functionality as SquareLoss
but has a more intuitive name. Both classes are interchangeable.
Inheritance HierarchySystemObject
Accord.Math.Optimization.LossesLossBaseDouble, Double, Double
Accord.Math.Optimization.LossesLossBaseDouble
Accord.Math.Optimization.LossesSquareLoss
Accord.Math.Optimization.LossesEuclideanLoss
Accord.Math.Optimization.LossesLossBaseDouble, Double, Double
Accord.Math.Optimization.LossesLossBaseDouble
Accord.Math.Optimization.LossesSquareLoss
Accord.Math.Optimization.LossesEuclideanLoss
Namespace: Accord.Math.Optimization.Losses
Assembly: Accord.Math (in Accord.Math.dll) Version: 3.8.0
SyntaxThe EuclideanLoss type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | EuclideanLoss(Double) |
Initializes a new instance of the EuclideanLoss class.
|
| EuclideanLoss(Double) |
Initializes a new instance of the EuclideanLoss class.
|
Properties| Name | Description | |
|---|---|---|
 | Expected |
Gets the expected outputs (the ground truth).
(Inherited from LossBaseTInput, TScore, TLoss.) |
| Mean |
Gets or sets a value indicating whether the
mean square loss should be computed. If Root
is also set, computes the root mean square loss. Default is true.
(Inherited from SquareLoss.) |
| Root |
Gets or sets a value indicating whether the
root square loss should be computed. If Mean
is also set, computes the root mean square loss. Default is false.
(Inherited from SquareLoss.) |
Methods| Name | Description | |
|---|---|---|
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | 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 | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| Loss(Double) |
Computes the loss between the expected values (ground truth)
and the given actual values that have been predicted.
(Inherited from SquareLoss.) |
| Loss(Double) |
Computes the loss between the expected values (ground truth)
and the given actual values that have been predicted.
(Inherited from SquareLoss.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
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