public static class SparseWinnow.Parameters extends LinearThresholdUnit.Parameters
SparseWinnow
's configurable parameters. Using instances
of this class should make code more readable and constructors less complicated.Modifier and Type | Field and Description |
---|---|
double |
beta
The rate at which weights are demoted; default equal to
1
/ LinearThresholdUnit.learningRate . |
initialWeight, learningRate, negativeThickness, positiveThickness, thickness, threshold, weightVector
rounds
Constructor and Description |
---|
Parameters()
Sets all the default values.
|
Parameters(LinearThresholdUnit.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
Parameters(SparseWinnow.Parameters p)
Copy constructor.
|
Modifier and Type | Method and Description |
---|---|
String |
nonDefaultString()
Creates a string representation of these parameters in which only those parameters that
differ from their default values are mentioned.
|
void |
setParameters(Learner l)
Calls the appropriate
Learner.setParameters(Parameters) method for this
Parameters object. |
public double beta
1
/
LinearThresholdUnit.learningRate
.public Parameters()
public Parameters(LinearThresholdUnit.Parameters p)
public Parameters(SparseWinnow.Parameters p)
public void setParameters(Learner l)
Learner.setParameters(Parameters)
method for this
Parameters
object.setParameters
in class LinearThresholdUnit.Parameters
l
- The learner whose parameters will be set.public String nonDefaultString()
nonDefaultString
in class LinearThresholdUnit.Parameters
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