LowerBoundNewtonRaphson Properties

Gets or sets a value indicating whether standard errors should be computed in the next iteration.

Gets or sets the number of performed iterations.

Gets the Gradient vector computed in the last Newton-Raphson iteration.

Gets or sets whether the algorithm has converged.

Gets the Lower-Bound matrix being used in place of the Hessian matrix in the Newton-Raphson iterations.

Please use MaxIterations instead.

Gets the maximum parameter change in the last iteration. If this value is less than Tolerance, the algorithm has converged.

Gets or sets the maximum number of iterations performed by the learning algorithm.

Gets the vector of parameter updates in the last iteration.

Gets the total number of parameters in the model.

Gets the previous values for the coefficients which were in place before the last learning iteration was performed.

Gets the current values for the coefficients.

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Gets or sets the tolerance value used to determine whether the algorithm has converged.

Gets or sets a value indicating whether the lower bound should be updated using new data. Default is true.