IClassificationPredictor (API for com.datarobot:datarobot-prediction 2.2.5)

All Superinterfaces:

IPredictorInfo
```
public interface IClassificationPredictor
extends IPredictorInfo
```
Interface for multi class and binary classification models.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`String[]`	`getClassLabels()`	Model specific class labels that will be predicted.
`Map<String,Double>`	`score(Iterable<?> row)`	Scores a single row.
`Map<String,Double>`	`score(Map<String,?> row)`	Scores a single row.

Methods inherited from interface com.datarobot.prediction.compatible.IPredictorInfo
getFeatures, getModelId, getPredictorClass

- Method Detail
  - getClassLabels
```
String[] getClassLabels()
```
    Model specific class labels that will be predicted.
    NOTE:
    
    These labels will be used as a key set for outputs of score(Iterable) and score(Map).
    
    Returns:
    
    array of class labels.
  - score
```
Map<String,Double> score(Map<String,?> row)
```
    Scores a single row.
    
    Parameters:
    
    row - row with feature values.
    
    Returns:
    
    class label to its probability.
  - score
```
Map<String,Double> score(Iterable<?> row)
```
    Scores a single row.
    NOTE:
    Here Iterable<?> row is the feature values in the same order as they goes in IPredictorInfo.getFeatures().
    
    Parameters:
    
    row - row with feature values in right order.
    
    Returns:
    
    class label to its probability.