| Package | Description |
|---|---|
| edu.illinois.cs.cogcomp.lbjava.learn |
| Modifier and Type | Class and Description |
|---|---|
static class |
BinaryMIRA.Parameters
Simply a container for all of
BinaryMIRA's configurable parameters. |
static class |
PassiveAggressive.Parameters
Simply a container for all of
PassiveAggressive's configurable parameters. |
static class |
SparseAveragedPerceptron.Parameters
Simply a container for all of
SparseAveragedPerceptron's configurable parameters. |
static class |
SparseConfidenceWeighted.Parameters
Simply a container for all of
SparseConfidenceWeighted's configurable parameters. |
static class |
SparsePerceptron.Parameters
Simply a container for all of
SparsePerceptron's configurable parameters. |
static class |
SparseWinnow.Parameters
Simply a container for all of
SparseWinnow's configurable parameters. |
| Modifier and Type | Method and Description |
|---|---|
void |
LinearThresholdUnit.setParameters(LinearThresholdUnit.Parameters p)
Sets the values of parameters that control the behavior of this learning algorithm.
|
| Constructor and Description |
|---|
LinearThresholdUnit(LinearThresholdUnit.Parameters p)
Initializing constructor.
|
LinearThresholdUnit(String n,
LinearThresholdUnit.Parameters p)
Initializing constructor.
|
Parameters(LinearThresholdUnit.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
Parameters(LinearThresholdUnit.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
Parameters(LinearThresholdUnit.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
Parameters(LinearThresholdUnit.Parameters p)
Copy constructor.
|
Parameters(LinearThresholdUnit.Parameters p)
Sets the parameters from the parent's parameters object, giving defaults to all
parameters declared in this object.
|
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