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BaseLeastSquaresMethod Properties |
The BaseLeastSquaresMethod type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Convergence |
Gets or sets the convergence verification method.
|
 | CurrentIteration |
Gets the current iteration number.
|
| 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.
|
| HasConverged |
Gets whether the algorithm has converged.
|
| Iterations | Obsolete.
Please use MaxIterations instead.
|
| MaxIterations |
Gets or sets the maximum number of iterations
performed by the iterative algorithm. Default
is 100.
|
| NumberOfParameters |
Gets the number of variables (free parameters) in the optimization problem.
|
| NumberOfVariables | Obsolete.
Gets the number of variables (free parameters) in the optimization problem.
|
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) |
| Solution |
Gets the solution found, the values of the parameters which
optimizes the function, in a least squares sense.
|
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |
| Tolerance |
Gets or sets the maximum relative change in the watched value
after an iteration of the algorithm used to detect convergence.
Default is zero.
|
| Value |
Gets the value at the solution found. This should be
the minimum value found for the objective function.
|
See Also