LearningClassifierExpression.Clause (LBJava 1.2.22 API)

java.lang.Object
- edu.illinois.cs.cogcomp.lbjava.IR.LearningClassifierExpression.Clause

Enclosing class:

LearningClassifierExpression
```
public static class LearningClassifierExpression.Clause
extends Object
```
This class represents a clause in a LearningClassifierExpression. Note that this class is not an ASTNode since it is only an intermediary used during parsing.

Author:

Nick Rizzolo

Field Summary

Fields
Modifier and Type	Field and Description
`Constant`	`alpha` Determines the parameter with which the confidence interval is calculated.
`static int`	`ALPHA` Value of the `type` variable
`ASTNode`	`argument` The argument of the clause.
`static int`	`CVAL` Value of the `type` variable.
`static int`	`ENCODING` Value of the `type` variable
`static int`	`EVALUATE` Value of the `type` variable.
`static int`	`FROM` Value of the `type` variable.
`Constant`	`K` Dictates how cross-validation divides the training data; used only by the `cval` clause.
`Block`	`learnerParameterBlock` A block of statements intended to be used to set learner parameters; used only by the `with` clause.
`static int`	`PREEXTRACT` Value of the `type` variable
`Constant`	`progressOutput` Determines how often to give the user status output during training.
`static int`	`PROGRESSOUTPUT` Value of the `type` variable
`static int`	`PRUNE` Value of the `type` variable
`Constant`	`pruneCountType` Whether to use "global" or "perClass" feature pruning.
`Constant`	`pruneThreshold` The feature pruning threshold.
`Constant`	`pruneThresholdType` Whether to use "count" or "percent" counting for feature pruning.
`Expression`	`rounds` Represents the number training repetitions; used only by the `from` clause.
`FoldParser.SplitPolicy`	`splitPolicy` Dictates how the training data will be split into subsets for use by cross validation.
`static int`	`TESTFROM` Value of the `type` variable.
`static int`	`TESTINGMETRIC` Value of the `type` variable
`int`	`type` The type of the clause.
`static String[]`	`typeNames` String representations of the type names.
`static int`	`USING` Value of the `type` variable.
`static int`	`WITH` Value of the `type` variable.

Constructor Summary

Constructors
Modifier	Constructor and Description
	`Clause(int t, ASTNode a)` Initializing constructor.
	`Clause(int t, ASTNode a, Expression r)` Full constructor.
`protected`	`Clause(int t, ASTNode a, Expression r, Block b, Constant k, FoldParser.SplitPolicy s, Constant al, Constant p, Constant pct, Constant ptt, Constant pt)` This constructor is only called by `clone()`.
	`Clause(int t, Constant x, Constant y, Constant z)` A constructor with 3 Constant parameters, used for the `prune` clause.
	`Clause(int t, Name n, Block b)` A constructor for a with clause with a parameter setting block.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Object`	`clone()` Creates a new object with the same primitive data, and recursively creates new member data objects as well.
`String`	`toString()` Debugging utility method.

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - USING
```
public static final int USING
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - FROM
```
public static final int FROM
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - WITH
```
public static final int WITH
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - TESTFROM
```
public static final int TESTFROM
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - EVALUATE
```
public static final int EVALUATE
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - CVAL
```
public static final int CVAL
```
    Value of the type variable.
    
    See Also:
    
    Constant Field Values
  - PREEXTRACT
```
public static final int PREEXTRACT
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - PROGRESSOUTPUT
```
public static final int PROGRESSOUTPUT
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - TESTINGMETRIC
```
public static final int TESTINGMETRIC
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - ALPHA
```
public static final int ALPHA
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - PRUNE
```
public static final int PRUNE
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - ENCODING
```
public static final int ENCODING
```
    Value of the type variable
    
    See Also:
    
    Constant Field Values
  - typeNames
```
public static final String[] typeNames
```
    String representations of the type names.
  - type
```
public int type
```
    The type of the clause.
  - argument
```
public ASTNode argument
```
    The argument of the clause.
  - rounds
```
public Expression rounds
```
    Represents the number training repetitions; used only by the from clause.
  - learnerParameterBlock
```
public Block learnerParameterBlock
```
    A block of statements intended to be used to set learner parameters; used only by the with clause.
  - K
```
public Constant K
```
    Dictates how cross-validation divides the training data; used only by the cval clause.
  - pruneCountType
```
public Constant pruneCountType
```
    Whether to use "global" or "perClass" feature pruning.
  - pruneThresholdType
```
public Constant pruneThresholdType
```
    Whether to use "count" or "percent" counting for feature pruning.
  - pruneThreshold
```
public Constant pruneThreshold
```
    The feature pruning threshold.
  - splitPolicy
```
public FoldParser.SplitPolicy splitPolicy
```
    Dictates how the training data will be split into subsets for use by cross validation.
  - alpha
```
public Constant alpha
```
    Determines the parameter with which the confidence interval is calculated. Takes the value .05 if the user does not specify otherwise.
  - progressOutput
```
public Constant progressOutput
```
    Determines how often to give the user status output during training.
- Constructor Detail
  - Clause
```
public Clause(int t,
              ASTNode a)
```
    Initializing constructor.
    
    Parameters:
    
    t - The type.
    
    a - The argument node.
  - Clause
```
public Clause(int t,
              ASTNode a,
              Expression r)
```
    Full constructor.
    
    Parameters:
    
    t - The type.
    
    a - The argument node.
    
    r - Could represent the number of training repetitions or the split policy.
  - Clause
```
public Clause(int t,
              Constant x,
              Constant y,
              Constant z)
```
    A constructor with 3 Constant parameters, used for the prune clause.
    
    Parameters:
    
    t - The type.
    
    x - The first parameter.
    
    y - The second parameter.
    
    z - The third parameter.
  - Clause
```
public Clause(int t,
              Name n,
              Block b)
```
    A constructor for a with clause with a parameter setting block.
    
    Parameters:
    
    t - The type.
    
    n - The name of the learner used by this learning classifier.
    
    b - The parameter setting block.
  - Clause
```
protected Clause(int t,
                 ASTNode a,
                 Expression r,
                 Block b,
                 Constant k,
                 FoldParser.SplitPolicy s,
                 Constant al,
                 Constant p,
                 Constant pct,
                 Constant ptt,
                 Constant pt)
```
    This constructor is only called by clone().
    
    Parameters:
    
    t - The type of the clause.
    
    a - The argument of the clause.
    
    r - Represents the number of training repetitions.
    
    b - A block of statements that set parameters of a learning algorithm.
    
    k - The number of folds for cross validation.
    
    s - The data splitting policy for cross validation.
    
    al - The width of the confidence interval for cross validation output.
    
    p - The frequency in examples of progress updates.
    
    pct - The type of pruning.
    
    ptt - The type of feature counting for pruning.
    
    pt - The pruning threshold.
- Method Detail
  - clone
```
public Object clone()
```
    Creates a new object with the same primitive data, and recursively creates new member data objects as well.
    
    Overrides:
    
    clone in class Object
    
    Returns:
    
    The clone node.
  - toString
```
public String toString()
```
    Debugging utility method.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A textual representation of this expression.

Class LearningClassifierExpression.Clause

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

USING

FROM

WITH

TESTFROM

EVALUATE

CVAL

PREEXTRACT

PROGRESSOUTPUT

TESTINGMETRIC

ALPHA

PRUNE

ENCODING

typeNames

type

argument

rounds

learnerParameterBlock

K

pruneCountType

pruneThresholdType

pruneThreshold

splitPolicy

alpha

progressOutput

Constructor Detail

Clause

Clause

Clause

Clause

Clause

Method Detail

clone

toString