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FanChenLinQuadraticOptimization Properties |
The FanChenLinQuadraticOptimization type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | NumberOfVariables |
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.
|
| Rho |
Gets the threshold (bias) value for a SVM trained using this method.
|
| Shrinking |
Gets or sets a value indicating whether shrinking
heuristics should be used. Default is false.
|
| Solution |
Gets the current solution found, the values of
the parameters which optimizes the function.
|
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
|
| Tolerance |
Gets or sets the precision tolerance before
the method stops. Default is 0.001.
|
| UpperBounds |
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.
|
| Value |
Gets the output of the function at the current Solution.
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See Also