LogisticGradientDescent Properties

Gets the current iteration number.

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

Gets or sets whether the algorithm has converged.

Please use MaxIterations instead.

Gets or sets the algorithm learning rate. Default is 0.1.

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

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 whether this algorithm should use stochastic updates or not. Default is false.

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.