FeatureVector (ibi Patterns Learn Library Documentation)

java.lang.Object
- com.tibco.patterns.learn.training.FeatureVector

```
public class FeatureVector
extends java.lang.Object
```
Stores a feature vector that can be predicted by a Learn model.

Constructor Summary

Constructors
Constructor Description

FeatureVector(double[] featureValues)
Creates the feature vector.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double[]`	`getFeatureValues()`
`int`	`getNFeatures()`
`RLinkOut`	`predict(int modelId, PredictOptions predictOpts)`	Calculates prediction using the given model and options.
`java.lang.String`	`toString()`

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

- Constructor Detail
  - FeatureVector
```
public FeatureVector(double[] featureValues)
```
    Creates the feature vector.
    
    Parameters:
    
    featureValues - - the feature values. Not null.
    
    Throws:
    
    java.lang.IllegalArgumentException - if featureValues is null, empty, or contains an invalid value. All values must be between 0 and 1, or -1 for an empty feature.
- Method Detail
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object
  - getFeatureValues
```
public double[] getFeatureValues()
```
    Returns:
    
    a copy of the feature values array.
  - getNFeatures
```
public int getNFeatures()
```
    Returns:
    
    the number of features in the feature vector.
  - predict
```
public RLinkOut predict(int modelId,
                        PredictOptions predictOpts)
```
    Calculates prediction using the given model and options.
    
    Parameters:
    
    modelId - - ID of an existing RLink model.
    
    predictOpts - - the options to use for this prediction. If null, uses default uptions.
    
    Returns:
    
    the RLink prediction for this feature vector.