: Class DiscreteVariable

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BayesianNetworks
Class DiscreteVariable

java.lang.Object
  |
  +--BayesianNetworks.DiscreteVariable

public class DiscreteVariable
extends java.lang.Object

Field Summary
`protected BayesNet`	`bn`
`static int`	`CHANCE`
`static int`	`DECISION`
`protected int`	`explanation_index`
`protected int`	`index`
`protected java.lang.String`	`name`
`protected int`	`observed_index`
`static int`	`TRANSPARENT`
`protected int`	`type`
`static int`	`UTILITY`
`protected java.lang.String[]`	`values`

Constructor Summary
`DiscreteVariable(java.lang.String n, int t, java.lang.String[] vs)` Constructor for a DiscreteVariable.

Method Summary
`int`	`get_explanation_index()` Get the index of the assigned value in the variable.
`int`	`get_index()` Get the index of the current DiscreteVariable.
`java.lang.String`	`get_name()` Get the name of the current DiscreteVariable.
`DiscreteFunction`	`get_numeric_values()` Produce an array of numeric values for the values of a variable.
`int`	`get_observed_index()` Get the index of the observed value.
`int`	`get_type()` Get the type of the DiscreteVariable.
`java.lang.String`	`get_value(int i)` Get a value of the current DiscreteVariable.
`java.lang.String[]`	`get_values()` Get the values of the current DiscreteVariable.
`int`	`index_of_value(java.lang.String value)` Determine the index of a value given its name; returns INVALID_INDEX if there is no index.
`boolean`	`is_explanation()` Indicate whether the current DiscreteVariable is an explanatory variable or not.
`boolean`	`is_observed()` Indicate whether the current DiscreteVariable has been observed or not.
`int`	`number_values()` Return the number of values in the current DiscreteVariable.
`void`	`set_explanation_index(int i)` Set the variable as explanatory with a given value.
`void`	`set_index(int ind)` Set the index of the variable.
`void`	`set_invalid_index()` Set the index of the current DiscreteVariable as invalid.
`void`	`set_invalid_observed_index()` Set the DiscreteVariable as not observed..
`void`	`set_name(java.lang.String n)` Set the name of the current DiscreteVariable.
`void`	`set_observed_value(java.lang.String v)` Set a value of the current DiscreteVariable as observed.
`void`	`set_type(int t)` Set the type of the current DiscreteVariable.
`void`	`set_values(java.lang.String[] vals)` Set the values of the current DiscreteVariable.

Methods inherited from class java.lang.Object

clone, 
equals, 
finalize, 
getClass, 
hashCode, 
notify, 
notifyAll, 
toString, 
wait, 
wait, 
wait

Field Detail

bn

protected BayesNet bn

name

protected java.lang.String name

index

protected int index

values

protected java.lang.String[] values

type

protected int type

observed_index

protected int observed_index

explanation_index

protected int explanation_index

CHANCE

public static final int CHANCE

TRANSPARENT

public static final int TRANSPARENT

DECISION

public static final int DECISION

UTILITY

public static final int UTILITY

Constructor Detail

DiscreteVariable

public DiscreteVariable(java.lang.String n,
                        int t,
                        java.lang.String[] vs)

Constructor for a DiscreteVariable.

Method Detail

index_of_value

public int index_of_value(java.lang.String value)

Determine the index of a value given its name; returns INVALID_INDEX if there is no index.

get_numeric_values

public DiscreteFunction get_numeric_values()

Produce an array of numeric values for the values of a variable. The values are direct translation of the string values into doubles; if the translation fails for a particular value, that value is replaced by its index.

get_name

public java.lang.String get_name()

Get the name of the current DiscreteVariable.

set_name

public void set_name(java.lang.String n)

Set the name of the current DiscreteVariable.

get_index

public int get_index()

Get the index of the current DiscreteVariable.

number_values

public int number_values()

Return the number of values in the current DiscreteVariable.

get_values

public java.lang.String[] get_values()

Get the values of the current DiscreteVariable.

set_values

public void set_values(java.lang.String[] vals)

Set the values of the current DiscreteVariable.

get_value

public java.lang.String get_value(int i)

Get a value of the current DiscreteVariable.

Parameters:: i - Position of the value in the array of values.

get_type

public int get_type()

Get the type of the DiscreteVariable.

is_explanation

public boolean is_explanation()

Indicate whether the current DiscreteVariable is an explanatory variable or not.

is_observed

public boolean is_observed()

Indicate whether the current DiscreteVariable has been observed or not.

set_observed_value

public void set_observed_value(java.lang.String v)

Set a value of the current DiscreteVariable as observed.

Parameters:: v - Observed value.

set_explanation_index

public void set_explanation_index(int i)

Set the variable as explanatory with a given value.

Parameters:: i - Index of the value that is assigned to the variable.

get_observed_index

public int get_observed_index()

Get the index of the observed value.

get_explanation_index

public int get_explanation_index()

Get the index of the assigned value in the variable.

set_index

public void set_index(int ind)

Set the index of the variable.

set_invalid_index

public void set_invalid_index()

Set the index of the current DiscreteVariable as invalid.

set_invalid_observed_index

public void set_invalid_observed_index()

Set the DiscreteVariable as not observed..

set_type

public void set_type(int t)

Set the type of the current DiscreteVariable.