ProportionalHazardsNewtonRaphson Properties

Gets or sets a value indicating whether an estimate of the baseline hazard function should be computed at the end of the next iterations.

Gets or sets a value indicating whether standard errors should be computed at the end of the next iterations.

Gets or sets the number of performed iterations.

Gets or sets the hazard estimator that should be used by the proportional hazards learning algorithm. Default is to use BreslowNelsonAalen.

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

Gets or sets whether the algorithm has converged.

Gets the Hessian matrix computed in the last Newton-Raphson iteration.

Please use MaxIterations instead.

Gets or sets the smoothing factor used to avoid numerical problems in the beginning of the training. Default is 0.1.

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

Gets or sets the regression model being learned.

Gets or sets a value indicating whether the Cox model should be computed using the mean-centered version of the covariates. Default is true.

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 the ties handling method to be used by the proportional hazards learning algorithm. Default is to use Efron's method.

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

Gets or sets the maximum absolute parameter change detectable after an iteration of the algorithm used to detect convergence. Default is 1e-5.