BaseLeastSquaresMethod Properties 
The BaseLeastSquaresMethod type exposes the following members.
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.
