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BaseLeastSquaresMethod Properties

The BaseLeastSquaresMethod type exposes the following members.

Protected propertyConvergence
Gets or sets the convergence verification method.
Public propertyCurrentIteration
Gets the current iteration number.
Public propertyFunction
Gets or sets a parameterized model function mapping input vectors into output values, whose optimum parameters must be found.
Public propertyGradient
Gets or sets a function that computes the gradient vector in respect to the function parameters, given a set of input and output values.
Public propertyHasConverged
Gets whether the algorithm has converged.
Public propertyIterations Obsolete.
Please use MaxIterations instead.
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the iterative algorithm. Default is 100.
Public propertyNumberOfParameters
Gets the number of variables (free parameters) in the optimization problem.
Public propertyNumberOfVariables Obsolete.
Gets the number of variables (free parameters) in the optimization problem.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertySolution
Gets the solution found, the values of the parameters which optimizes the function, in a least squares sense.
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
Public propertyTolerance
Gets or sets the maximum relative change in the watched value after an iteration of the algorithm used to detect convergence. Default is zero.
Public propertyValue
Gets the value at the solution found. This should be the minimum value found for the objective function.
See Also