example

java.lang.Object
- keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierSLAVE.example_set

```
public class example_set
extends java.lang.Object
```
Encodes a set of examples (including information about if the example is covered by a rule, the coverage degree, ...).

Since:

JDK 1.6

Version:

1.0

Author:

Written by Francisco José Berlanga (University of Jaén) 01/01/2007

Field Summary

Fields
Modifier and Type Field and Description

static double MISSING
Encodes a set of examples (including information about if the example is covered by a rule, the coverage degree, ...)

Fields
Modifier and Type	Field and Description
`static double`	`MISSING` Encodes a set of examples (including information about if the example is covered by a rule, the coverage degree, ...)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`CoverageDegree(int i)` Returns the coverage degree for the example in position "i" of the set
`vectordouble`	`Data(int ejemplo)` Returns the values for all the variables in the example in position "ejemplo" in the set of examples
`double`	`Data(int ejemplo, int variable)` Returns the value for variable "variable" in the example in position "ejemplo" in the set of examples
`void`	`Examples_per_Class(int VarClass, int particion, int nclasses, int[] n_examples_in_class)` Calculates the number of examples per class in the problem
`example_set`	`Extract_Test_Set(int particion)` Returns the subset of examples belonging to the partition "particion"
`example_set`	`Extract_Training_Set(int particion)` Returns the subset of examples belonging to the partition "particion"
`boolean`	`Is_Covered(int i)` Returns if the example in position "i" is covered
`boolean`	`Is_Test_Example(int ejemplo, int particion)` Returns if the example in position "ejemplo" belongs to the partition "particion"
`boolean`	`Is_Training_Example(int ejemplo, int particion)` Returns if the example in position "ejemplo" belongs to the partition "particion"
`void`	`Mark(int[] v, int tama)` Marks the examples in "v" as covered and set their coverage degree to 1
`void`	`Mark(int[] v, int tama, double[] grado)` Marks the examples in "v" as covered and set their coverage degree to the one in "grado"
`int`	`N_Examples()` Returns the number of examples in the set
`int`	`N_Partitions()` Returns the number of partitions forming the set of examples
`int`	`N_Variables()` Returns the number of variables of the problem
`int`	`Not_Covered_Examples()` Returns the number of examples not covered
`int`	`Not_Covered_Training_Example(int particion)` Returns the number of examples not covered belonging to the partition "particion"
`void`	`Remove(int[] v, int tama)` Removes the examples in "v" from the set of examples
`int`	`Test_Example(int particion)` Returns the number of examples belonging to the partition "particion"
`int`	`Training_Example(int particion)` Returns the number of examples belonging to the partition "particion"
`void`	`UnMark(int[] v, int tama)` Marks the examples in "v" as uncovered and set their coverage degree to -1
`void`	`UnMark(int[] v, int tama, double[] grado)` Marks the examples in "v" as uncovered and set their coverage degree to the negative value for the one in "grado"
`void`	`UnMarkAll()` Marks all the examples as uncovered and set their coverage degree to 0

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

- Field Detail
  - MISSING
```
public static final double MISSING
```
    Encodes a set of examples (including information about if the example is covered by a rule, the coverage degree, ...)
    
    See Also:
    
    Constant Field Values
- Method Detail
  - Data
```
public double Data(int ejemplo,
                   int variable)
```
    Returns the value for variable "variable" in the example in position "ejemplo" in the set of examples
    
    Parameters:
    
    ejemplo - int The position of the example in the set of examples
    
    variable - int The variable of the example
    
    Returns:
    
    double The value for the variable "variable" in the example "ejemplo"
  - Data
```
public vectordouble Data(int ejemplo)
```
    Returns the values for all the variables in the example in position "ejemplo" in the set of examples
    
    Parameters:
    
    ejemplo - int The position of the example in the set of examples
    
    Returns:
    
    vectordouble The values for all the variables in the example "ejemplo"
  - N_Examples
```
public int N_Examples()
```
    Returns the number of examples in the set
    
    Returns:
    
    int The number of examples in the set
  - N_Partitions
```
public int N_Partitions()
```
    Returns the number of partitions forming the set of examples
    
    Returns:
    
    int The number of partitions forming the set of examples
  - Is_Training_Example
```
public boolean Is_Training_Example(int ejemplo,
                                   int particion)
```
    Returns if the example in position "ejemplo" belongs to the partition "particion"
    
    Parameters:
    
    ejemplo - int The position of the example
    
    particion - int The number of partition
    
    Returns:
    
    boolean TRUE if the example in position "ejemplo" belongs to the partition "particion". FALSE otherwise
  - Is_Test_Example
```
public boolean Is_Test_Example(int ejemplo,
                               int particion)
```
    Returns if the example in position "ejemplo" belongs to the partition "particion"
    
    Parameters:
    
    ejemplo - int The position of the example
    
    particion - int The number of partition
    
    Returns:
    
    boolean TRUE if the example in position "ejemplo" belongs to the partition "particion". FALSE otherwise
  - Training_Example
```
public int Training_Example(int particion)
```
    Returns the number of examples belonging to the partition "particion"
    
    Parameters:
    
    particion - int The number of partition
    
    Returns:
    
    int The number of examples belonging to the partition "particion"
  - Test_Example
```
public int Test_Example(int particion)
```
    Returns the number of examples belonging to the partition "particion"
    
    Parameters:
    
    particion - int The number of partition
    
    Returns:
    
    int The number of examples belonging to the partition "particion"
  - Not_Covered_Training_Example
```
public int Not_Covered_Training_Example(int particion)
```
    Returns the number of examples not covered belonging to the partition "particion"
    
    Parameters:
    
    particion - int The number of partition
    
    Returns:
    
    int The number of examples not covered belonging to the partition "particion"
  - Not_Covered_Examples
```
public int Not_Covered_Examples()
```
    Returns the number of examples not covered
    
    Returns:
    
    int The number of examples not covered
  - Examples_per_Class
```
public void Examples_per_Class(int VarClass,
                               int particion,
                               int nclasses,
                               int[] n_examples_in_class)
```
    Calculates the number of examples per class in the problem
    
    Parameters:
    
    VarClass - int The number of classes in the rule set
    
    particion - int The partition number
    
    nclasses - int The number of clasess in the problem
    
    n_examples_in_class - int[] Keeps the number of examples per class
  - N_Variables
```
public int N_Variables()
```
    Returns the number of variables of the problem
    
    Returns:
    
    int The number of variables of the problem
  - Remove
```
public void Remove(int[] v,
                   int tama)
```
    Removes the examples in "v" from the set of examples
    
    Parameters:
    
    v - int[] Positions of the examples to be removed from the set of examples
    
    tama - int Number of examples to be removed
  - Mark
```
public void Mark(int[] v,
                 int tama)
```
    Marks the examples in "v" as covered and set their coverage degree to 1
    
    Parameters:
    
    v - int[] Positions of the examples to be marked in the set of examples
    
    tama - int Number of examples to be marked
  - Mark
```
public void Mark(int[] v,
                 int tama,
                 double[] grado)
```
    Marks the examples in "v" as covered and set their coverage degree to the one in "grado"
    
    Parameters:
    
    v - int[] Positions of the examples to be marked in the set of examples
    
    tama - int Number of examples to be marked
    
    grado - double[] The coverage degrees for the examples to be marked
  - UnMark
```
public void UnMark(int[] v,
                   int tama)
```
    Marks the examples in "v" as uncovered and set their coverage degree to -1
    
    Parameters:
    
    v - int[] Positions of the examples to be marked in the set of examples
    
    tama - int Number of examples to be marked
  - UnMark
```
public void UnMark(int[] v,
                   int tama,
                   double[] grado)
```
    Marks the examples in "v" as uncovered and set their coverage degree to the negative value for the one in "grado"
    
    Parameters:
    
    v - int[] Positions of the examples to be marked in the set of examples
    
    tama - int Number of examples to be marked
    
    grado - double[] The coverage degrees for the examples to be marked
  - UnMarkAll
```
public void UnMarkAll()
```
    Marks all the examples as uncovered and set their coverage degree to 0
  - Is_Covered
```
public boolean Is_Covered(int i)
```
    Returns if the example in position "i" is covered
    
    Parameters:
    
    i - int The position of the example in the set
    
    Returns:
    
    boolean TRUE if the example in position "i" is covered. FALSE otherwise
  - CoverageDegree
```
public double CoverageDegree(int i)
```
    Returns the coverage degree for the example in position "i" of the set
    
    Parameters:
    
    i - int The position of the example in the set
    
    Returns:
    
    double The coverage degree
  - Extract_Training_Set
```
public example_set Extract_Training_Set(int particion)
```
    Returns the subset of examples belonging to the partition "particion"
    
    Parameters:
    
    particion - int The number of partition
    
    Returns:
    
    example_set The subset of examples
  - Extract_Test_Set
```
public example_set Extract_Test_Set(int particion)
```
    Returns the subset of examples belonging to the partition "particion"
    
    Parameters:
    
    particion - int The number of partition
    
    Returns:
    
    example_set The subset of examples

Class example_set

Field Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

MISSING

Method Detail

Data

Data

N_Examples

N_Partitions

Is_Training_Example

Is_Test_Example

Training_Example

Test_Example

Not_Covered_Training_Example

Not_Covered_Examples

Examples_per_Class

N_Variables

Remove

Mark

Mark

UnMark

UnMark

UnMarkAll

Is_Covered

CoverageDegree

Extract_Training_Set

Extract_Test_Set