Class Undirected
Provides useful factors for undirected models.
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
public class UndirectedMethods
Linear(Int32, Int32, Double)
Implements a linear difference potential which has the value of exp( -|a-b|* logUnitCost ).
Declaration
public static void Linear(int a, int b, double logUnitCost)Parameters
| Type | Name | Description |
|---|---|---|
| Int32 | a | |
| Int32 | b | |
| Double | logUnitCost |
LinearTrunc(Int32, Int32, Double, Double)
Implements a truncated linear difference potential which has the value of exp( - min( |a-b|* logUnitCost, maxCost) ).
Declaration
public static void LinearTrunc(int a, int b, double logUnitCost, double maxCost)Parameters
| Type | Name | Description |
|---|---|---|
| Int32 | a | |
| Int32 | b | |
| Double | logUnitCost | |
| Double | maxCost |
Potts(Boolean, Boolean, Double)
Implements an boolean Potts potential which has the value of 1 if a=b and exp(-logCost) otherwise.
Declaration
public static void Potts(bool a, bool b, double logCost)Parameters
| Type | Name | Description |
|---|---|---|
| Boolean | a | |
| Boolean | b | |
| Double | logCost |
Remarks
Potts(Int32, Int32, Double)
Implements an integer Potts potential which has the value of 1 if a=b and exp(-logCost) otherwise.
Declaration
public static void Potts(int a, int b, double logCost)Parameters
| Type | Name | Description |
|---|---|---|
| Int32 | a | |
| Int32 | b | |
| Double | logCost |