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FanChenLinQuadraticOptimization Properties

The FanChenLinQuadraticOptimization type exposes the following members.

Public propertyNumberOfVariables
Gets the number of variables (free parameters) in the optimization problem. In a SVM learning problem, this is the number of samples in the learning dataset.
Public propertyRho
Gets the threshold (bias) value for a SVM trained using this method.
Public propertyShrinking
Gets or sets a value indicating whether shrinking heuristics should be used. Default is false.
Public propertySolution
Gets the current solution found, the values of the parameters which optimizes the function.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
Public propertyTolerance
Gets or sets the precision tolerance before the method stops. Default is 0.001.
Public propertyUpperBounds
Gets the upper bounds for the optimization problem. In a SVM learning problem, this would be the capacity limit for each Lagrange multiplier (alpha) in the machine. The default is to use a vector filled with 1's.
Public propertyValue
Gets the output of the function at the current Solution.
See Also