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ILeastSquaresMethod Properties |
The ILeastSquaresMethod type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Function |
Gets or sets a parameterized model function mapping input vectors
into output values, whose optimum parameters must be found.
|
| Gradient |
Gets or sets a function that computes the gradient vector in respect
to the function parameters, given a set of input and output values.
|
| NumberOfVariables |
Gets the number of variables (free parameters) in the optimization problem.
|
| Solution |
Gets the solution found, the values of the parameters which
optimizes the function, in a least squares sense.
|
| StandardErrors |
Gets standard error for each parameter in the solution.
|
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
|
| Value |
Gets the value at the solution found. This should be
the minimum value found for the objective function.
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See Also