OrdinaryLeastSquares Methods |
The OrdinaryLeastSquares type exposes the following members.
Name | Description | |
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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.) | |
GetInformationMatrix |
Gets the information matrix used to update the regression
weights in the last call to Learn(Double, Double, Double) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
Learn(Double, Double, Double) |
Learns a model that can map the given inputs to the given outputs.
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Learn(Double, Double, Double) |
Learns a model that can map the given inputs to the given outputs.
| |
Learn(Double, Double, Double) |
Learns a model that can map the given inputs to the given outputs.
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MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) |
Name | Description | |
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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.) |