The CLGaussian type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | CLGaussian | Overloaded. |
Methods
| Name | Description | |
|---|---|---|
| Copy | Overloaded. |
| CopyFrom |
Copies the values from the source distribution to this instance. The variable counts between distributions must match but the variable contexts need not be equal.
|
| Divide | Overloaded. |
| Equals | Determines whether the specified Object is equal to the current Object. (Inherited from Object.) |
 | Finalize | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. (Inherited from Object.) |
| GetCovariance |
Gets the covariance of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| GetHashCode | Serves as a hash function for a particular type. GetHashCode()()() is suitable for use in hashing algorithms and data structures like a hash table. (Inherited from Object.) |
| GetMean |
Gets the mean of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| GetVariance |
Gets the variance of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| GetWeight |
Gets the weight (regression coefficient) of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| Instantiate | Overloaded. |
| IsReadOnly |
Indicates whether the distribution is read only.
|
| Marginalize | Overloaded. |
| MarginalizeTo |
Marginalizes (sums/integrates) out all continuous variables from this instance into the specified table.
|
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Multiply | Overloaded. |
| SetCovariance |
Sets the covariance value of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| SetMean |
Sets the mean value of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| SetVariance |
Sets the variance value of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| SetWeight |
Sets the weight/regression coefficient of the Gaussian distribution at the specified index in the Table of discrete combinations.
|
| TimeShift |
Shifts any times assoicated with the distribution variables by the specified number of time units.
|
| ToString |
Returns a String that represents the current Object.
(Overrides Object..::.ToString()()().) |
Properties
| Name | Description | |
|---|---|---|
 | Locked |
Locks or unlocks a distribution.
|
| Owner |
Gets the current owner, if assigned to a node. A distribution cannot be modifed when it is assigned to a node.
|
| SortedContinuousHead |
Gets the collection of continuous head variables in the distribution, sorted by by time (which may be null) and index.
|
| SortedContinuousTail |
Gets the collection of continuous tail variables in the distribution, sorted by by time (which may be null) and index.
|
| SortedVariables |
Gets the collection of variables in the distribution, sorted by time (which may be null) and index.
|
| Table |
Gets the Table which specifies the distribution over any discrete variables.
|
