AdaBoostTModel Properties

Gets or sets the fitting function which creates and trains a model given a weighted data set.

Please use MaxIterations instead.

Gets or sets a function that takes a set of parameters and creates a learning algorithm for learning each stage of the boosted classsifier.

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

Gets or sets the model being trained.

Gets or sets the error limit before learning stops. Default is 0.5.

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

Gets or sets the relative tolerance used to detect convergence of the learning algorithm.