public static class SparseNetworkLearner.Parameters extends Learner.Parameters
SparseNetworkLearner's configurable parameters. Using
instances of this class should make code more readable and constructors less complicated.| Modifier and Type | Field and Description |
|---|---|
LinearThresholdUnit |
baseLTU
The underlying algorithm used to learn each class separately as a binary classifier;
default
SparseNetworkLearner.defaultBaseLTU. |
rounds| Constructor and Description |
|---|
Parameters()
Sets all the default values.
|
Parameters(Learner.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
Parameters(SparseNetworkLearner.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 LinearThresholdUnit baseLTU
SparseNetworkLearner.defaultBaseLTU.public Parameters()
public Parameters(Learner.Parameters p)
public Parameters(SparseNetworkLearner.Parameters p)
public void setParameters(Learner l)
Learner.setParameters(Parameters) method for this
Parameters object.setParameters in class Learner.Parametersl - The learner whose parameters will be set.public String nonDefaultString()
nonDefaultString in class Learner.ParametersCopyright © 2016. All rights reserved.