FeatureSelectionTest (bayesserver 11.0 API)

java.lang.Object
- com.bayesserver.learning.structure.FeatureSelectionTest

```
public final class FeatureSelectionTest
extends Object
```
Contains information about a test carried out between a variable and a target to determine whether the variable is likely to be a feature or not.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Double`	`getMutualInformation()`	Gets the mutual information between the target and the test in NATS.
`Double`	`getOneMinusPValue()`	Gets a value which equals one minus the p-value returned from the statical independence test.
`Variable`	`getTarget()`	Gets the variable that was the target of the feature selection test.
`Integer`	`getTemporalOrder()`	Gets the temporal order (if any) used to test the variables.
`Variable`	`getVariable()`	Gets the variable which was tested to see if it is likely to be a feature of the `getTarget()` variable.
`boolean`	`isFeature(double significanceLevel)`	Provides a hint as to whether the variable is likely to be a feature or not, at the given [significanceLevel].

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

- Method Detail
  - getVariable
```
public Variable getVariable()
```
    Gets the variable which was tested to see if it is likely to be a feature of the getTarget() variable.
  - getTemporalOrder
```
public Integer getTemporalOrder()
```
    Gets the temporal order (if any) used to test the variables.
  - getOneMinusPValue
```
public Double getOneMinusPValue()
```
    Gets a value which equals one minus the p-value returned from the statical independence test. The higher this value, the more likely the variable is to be a feature.
  - getMutualInformation
```
public Double getMutualInformation()
```
    Gets the mutual information between the target and the test in NATS. The higher this value, the more likely the variable is to be a feature.
  - isFeature
```
public boolean isFeature(double significanceLevel)
```
    Provides a hint as to whether the variable is likely to be a feature or not, at the given [significanceLevel].
    
    Parameters:
    
    significanceLevel -
    
    Returns:
    
    true if the variable is likely to be a feature at the given [significanceLevel], or false otherwise.
  - getTarget
```
public Variable getTarget()
```
    Gets the variable that was the target of the feature selection test.