| Package | Description |
|---|---|
| edu.illinois.cs.cogcomp.lbjava | |
| edu.illinois.cs.cogcomp.lbjava.IR |
| Modifier and Type | Method and Description |
|---|---|
void |
SemanticAnalysis.run(Constant c)
Runs this pass on all nodes of the indicated type.
|
void |
TranslateToJava.run(Constant e)
Runs this pass on all nodes of the indicated type.
|
void |
PrintAST.run(Constant node)
Runs this pass on all nodes of the indicated type.
|
void |
Pass.run(Constant node)
One of the recursive "helper" methods for
run(). |
| Modifier and Type | Field and Description |
|---|---|
Constant |
LearningClassifierExpression.alpha
(¬ø) The desired confidence level for cross validation's confidence interval
output; argument to
alpha, which can only be specified when cval is
also specified. |
Constant |
LearningClassifierExpression.Clause.alpha
Determines the parameter with which the confidence interval is calculated.
|
Constant |
LearningClassifierExpression.featureEncoding
(ø) The encoding that the generated classifier will use when storing string data in
features.
|
Constant |
LearningClassifierExpression.K
(ø) Represents the integer number of subsets to be used in k-fold cross validation;
first argument to
cval. |
Constant |
LearningClassifierExpression.Clause.K
Dictates how cross-validation divides the training data; used only by the
cval clause. |
Constant |
LearningClassifierExpression.preExtract
(¬ø) A Boolean or string value indicating how feature vectors are to be
pre-extracted; argument to
preExtract. |
Constant |
LearningClassifierExpression.previousPruneCountType
(ø) The contents of
LearningClassifierExpression.pruneCountType on the previous run of the compiler, if
any. |
Constant |
LearningClassifierExpression.progressOutput
(ø) Integer specifying how often (in examples) to give the user a progress update
during training; argument to
progressOutput. |
Constant |
LearningClassifierExpression.Clause.progressOutput
Determines how often to give the user status output during training.
|
Constant |
LearningClassifierExpression.pruneCountType
(ø) Whether to use "global" or "perClass" feature pruning.
|
Constant |
LearningClassifierExpression.Clause.pruneCountType
Whether to use "global" or "perClass" feature pruning.
|
Constant |
LearningClassifierExpression.pruneThreshold
(ø) The feature pruning threshold.
|
Constant |
LearningClassifierExpression.Clause.pruneThreshold
The feature pruning threshold.
|
Constant |
LearningClassifierExpression.pruneThresholdType
(ø) Whether to use "count" or "percent" counting for feature pruning.
|
Constant |
LearningClassifierExpression.Clause.pruneThresholdType
Whether to use "count" or "percent" counting for feature pruning.
|
| Modifier and Type | Method and Description |
|---|---|
Constant |
ConstantList.ConstantListIterator.nextItem()
Returns the next AST node in the list.
|
Constant |
ConstantList.ConstantListIterator.previousItem()
Returns the previous element in the list.
|
Constant[] |
ConstantList.toArray()
Transforms the list into an array of expressions.
|
| Modifier and Type | Method and Description |
|---|---|
void |
ConstantList.add(Constant c)
Adds another
Constant to the end of the list. |
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