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package liblinear;
import static liblinear.Linear.copyOf;
/**
* C is the cost of constraints violation. (we usually use 1 to 1000)
* eps is the stopping criterion. (we usually use 0.01).
*
* nr_weight, weight_label, and weight are used to change the penalty
* for some classes (If the weight for a class is not changed, it is
* set to 1). This is useful for training classifier using unbalanced
* input data or with asymmetric misclassification cost.
*
* nr_weight is the number of elements in the array weight_label and
* weight. Each weight[i] corresponds to weight_label[i], meaning that
* the penalty of class weight_label[i] is scaled by a factor of weight[i].
*
* If you do not want to change penalty for any of the classes,
* just set nr_weight to 0.
*
* *NOTE* To avoid wrong parameters, check_parameter() should be
* called before train().
*/
public final class Parameter {
double C;
/** stopping criteria */
double eps;
SolverType solverType;
double[] weight = null;
int[] weightLabel = null;
public Parameter( SolverType solverType, double C, double eps ) {
setSolverType(solverType);
setC(C);
setEps(eps);
}
public void setWeights( double[] weights, int[] weightLabels ) {
if ( weights == null ) throw new IllegalArgumentException("'weight' must not be null");
if ( weightLabels == null || weightLabels.length != weights.length )
throw new IllegalArgumentException("'weightLabels' must have same length as 'weight'");
this.weightLabel = copyOf(weightLabels, weightLabels.length);
this.weight = copyOf(weights, weights.length);
}
public int getNumWeights() {
if ( weight == null ) return 0;
return weight.length;
}
public void setC( double C ) {
if ( C <= 0 ) throw new IllegalArgumentException("C must not be <= 0");
this.C = C;
}
public void setEps( double eps ) {
if ( eps <= 0 ) throw new IllegalArgumentException("eps must not be <= 0");
this.eps = eps;
}
public void setSolverType( SolverType solverType ) {
if ( solverType == null ) throw new IllegalArgumentException("solver type must not be null");
this.solverType = solverType;
}
}