myDataset

java.lang.Object
- keel.Algorithms.UnsupervisedLearning.AssociationRules.IntervalRuleLearning.MOPNAR.myDataset

```
public class myDataset
extends java.lang.Object
```
It contains the methods to read a Dataset for the Association Rules Mining problem

Since:

JDK1.6

Version:

1.1

Author:

Written by Alberto Fernández (University of Granada), Modified by Nicolò Flugy Papè (Politecnico di Milano) 24/03/2009

Field Summary

Fields
Modifier and Type	Field and Description
`static int`	`INTEGER` Number to represent type of variable integer.
`static int`	`NOMINAL` Number to represent type of variable nominal.
`static int`	`REAL` Number to represent type of variable real or double.

Constructor Summary

Constructors
Constructor and Description

myDataset()
Initialize a new set of instances

Constructors
Constructor and Description
`myDataset()` Initialize a new set of instances

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`getAmplitude(int pos)` Returns the amplitude of the attribute with the given id.
`int`	`getAttributeType(int n_attr)` It returns the type of the attribute in "n_attr"
`double[]`	`getemax()` It returns an array with the maximum values of the attributes
`double[]`	`getemin()` It returns an array with the minimum values of the attributes
`double[]`	`getExample(int pos)` Returns the example with the given id.
`double`	`getMax(int variable)` It returns the upper bound of the variable
`double`	`getMin(int variable)` It returns the lower bound of the variable
`boolean[]`	`getMissing(int pos)` It returns an array indicating the position of the missing values on a specific example
`java.lang.String`	`getNameVar(int pos)` It returns the name of the variable in "pos"
`int`	`getnTrans()` It gets the size of the data-set
`int`	`getnVars()` It gets the number of variables of the data-set
`double[][]`	`getTrueTransactions()` Outputs an array of transactions with their corresponding attribute values.
`boolean`	`hasMissingAttributes()` It checks if the data-set has any missing value
`boolean`	`hasNumericalAttributes()` It checks if the data-set has any numerical value (real or integer)
`boolean`	`hasRealAttributes()` It checks if the data-set has any real value
`boolean`	`isMissing(int i, int j)` This function checks if the attribute value is missing
`java.lang.String[]`	`names()` It returns the names of the variables
`int`	`numberValues(int attribute)` It returns the number of different values in the case of a nominal variable
`void`	`readDataSet(java.lang.String datasetFile)` It reads the whole input data-set and it stores each transaction in local array
`int`	`sizeWithoutMissing()` It return the size of the data-set without having account the missing values

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

- Field Detail
  - NOMINAL
```
public static final int NOMINAL
```
    Number to represent type of variable nominal.
    
    See Also:
    
    Constant Field Values
  - INTEGER
```
public static final int INTEGER
```
    Number to represent type of variable integer.
    
    See Also:
    
    Constant Field Values
  - REAL
```
public static final int REAL
```
    Number to represent type of variable real or double.
    
    See Also:
    
    Constant Field Values
- Constructor Detail
  - myDataset
```
public myDataset()
```
    Initialize a new set of instances
- Method Detail
  - getTrueTransactions
```
public double[][] getTrueTransactions()
```
    Outputs an array of transactions with their corresponding attribute values.
    
    Returns:
    
    double[][] an array of transactions with their corresponding attribute values
  - getExample
```
public double[] getExample(int pos)
```
    Returns the example with the given id.
    
    Parameters:
    
    pos - example id.
    
    Returns:
    
    the example with the given id.
  - getemax
```
public double[] getemax()
```
    It returns an array with the maximum values of the attributes
    
    Returns:
    
    double[] an array with the maximum values of the attributes
  - getemin
```
public double[] getemin()
```
    It returns an array with the minimum values of the attributes
    
    Returns:
    
    double[] an array with the minimum values of the attributes
  - getMax
```
public double getMax(int variable)
```
    It returns the upper bound of the variable
    
    Parameters:
    
    variable - Id otf the attribute
    
    Returns:
    
    double the upper bound of the variable
  - getMin
```
public double getMin(int variable)
```
    It returns the lower bound of the variable
    
    Parameters:
    
    variable - Id of the attribute
    
    Returns:
    
    double the lower bound of the variable
  - getnTrans
```
public int getnTrans()
```
    It gets the size of the data-set
    
    Returns:
    
    int the number of transactions in the data-set
  - getnVars
```
public int getnVars()
```
    It gets the number of variables of the data-set
    
    Returns:
    
    int the number of variables of the data-set
  - isMissing
```
public boolean isMissing(int i,
                         int j)
```
    This function checks if the attribute value is missing
    
    Parameters:
    
    i - int Example id
    
    j - int Variable id
    
    Returns:
    
    boolean True is the value is missing, else it returns false
  - readDataSet
```
public void readDataSet(java.lang.String datasetFile)
                 throws java.io.IOException
```
    It reads the whole input data-set and it stores each transaction in local array
    
    Parameters:
    
    datasetFile - String name of the file containing the data-set
    
    Throws:
    
    java.io.IOException - If there occurs any problem with the reading of the data-set
  - hasRealAttributes
```
public boolean hasRealAttributes()
```
    It checks if the data-set has any real value
    
    Returns:
    
    boolean True if it has some real values, else false.
  - hasNumericalAttributes
```
public boolean hasNumericalAttributes()
```
    It checks if the data-set has any numerical value (real or integer)
    
    Returns:
    
    boolean True if it has some numerical values, else false.
  - hasMissingAttributes
```
public boolean hasMissingAttributes()
```
    It checks if the data-set has any missing value
    
    Returns:
    
    boolean True if it has some missing values, else false.
  - sizeWithoutMissing
```
public int sizeWithoutMissing()
```
    It return the size of the data-set without having account the missing values
    
    Returns:
    
    int the size of the data-set without having account the missing values
  - numberValues
```
public int numberValues(int attribute)
```
    It returns the number of different values in the case of a nominal variable
    
    Parameters:
    
    attribute - Id of the variable
    
    Returns:
    
    the number of different values in the case of a nominal variable
  - getMissing
```
public boolean[] getMissing(int pos)
```
    It returns an array indicating the position of the missing values on a specific example
    
    Parameters:
    
    pos - int Id of the example
    
    Returns:
    
    boolean[] an array indicating the position of the missing values on the example
  - names
```
public java.lang.String[] names()
```
    It returns the names of the variables
    
    Returns:
    
    String[] an array with the names of the variables
  - getNameVar
```
public java.lang.String getNameVar(int pos)
```
    It returns the name of the variable in "pos"
    
    Parameters:
    
    pos - int Id of the variable
    
    Returns:
    
    String the name of the attribute
  - getAmplitude
```
public double getAmplitude(int pos)
```
    Returns the amplitude of the attribute with the given id.
    
    Parameters:
    
    pos - attribute id.
    
    Returns:
    
    the amplitude of the attribute with the given id.
  - getAttributeType
```
public int getAttributeType(int n_attr)
```
    It returns the type of the attribute in "n_attr"
    
    Parameters:
    
    n_attr - int Id of the attribute
    
    Returns:
    
    int the type of the attribute

Class myDataset

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

NOMINAL

INTEGER

REAL

Constructor Detail

myDataset

Method Detail

getTrueTransactions

getExample

getemax

getemin

getMax

getMin

getnTrans

getnVars

isMissing

readDataSet

hasRealAttributes

hasNumericalAttributes

hasMissingAttributes

sizeWithoutMissing

numberValues

getMissing

names

getNameVar

getAmplitude

getAttributeType