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java.lang.ObjectLBJ2.learn.Learner.Parameters
public static class Learner.Parameters
Parameters classes are used to hold values for learning
algorithm parameters, and all learning algorithm implementations must
provide a constructor that takes such an object as input. All algorithm
specific Parameters classes extend this class.
| Field Summary | |
|---|---|
int |
rounds
The number of rounds of training; but wait; this parameter doesn't actually affect the behavior of any learners as the number of training rounds is specified via other mechanisms. |
| Constructor Summary | |
|---|---|
Learner.Parameters()
Sets all the default values. |
|
Learner.Parameters(Learner.Parameters p)
Copy constructor. |
|
| Method Summary | |
|---|---|
java.lang.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. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public int rounds
| Constructor Detail |
|---|
public Learner.Parameters()
public Learner.Parameters(Learner.Parameters p)
| Method Detail |
|---|
public void setParameters(Learner l)
Learner.setParameters(Parameters)
method for this Parameters object.
l - The learner whose parameters will be set.public java.lang.String nonDefaultString()
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