IClassifier (JCP API)

All Superinterfaces:

IClassifierInformation, java.io.Serializable

All Known Subinterfaces:

IClassProbabilityClassifier, ISVMClassifier

All Known Implementing Classes:

BogusClassProbabilityClassifier, ClassifierBase, ExtremelyRandomizedTreesClassifier, LinearClassifier, RandomForestClassifier, SVMClassifier, SVMClassifier, SVMClassifier
```
public interface IClassifier
extends IClassifierInformation, java.io.Serializable
```
Represents an instance of a specific machine learning classification algorithm. Contract for JCP use: 1. The Classifier must be serializable, both as untrained and as trained. 2. The fitNew and predict methods of the Classifier must be reentrant.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`fit(cern.colt.matrix.DoubleMatrix2D x, double[] y)`	Trains this classifier using the supplied data.
`IClassifier`	`fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)`	Trains and returns a copy of this classifier using the supplied data.
`double`	`predict(cern.colt.matrix.DoubleMatrix1D instance)`	Predicts the target for the supplied instance.

Methods inherited from interface se.hb.jcp.ml.IClassifierInformation
getAttributeCount, getLabels, isTrained, nativeStorageTemplate

- Method Detail
  - fit
```
void fit(cern.colt.matrix.DoubleMatrix2D x,
         double[] y)
```
    Trains this classifier using the supplied data.
    
    Parameters:
    
    x - the attributes of the instances.
    
    y - the targets of the instances.
  - fitNew
```
IClassifier fitNew(cern.colt.matrix.DoubleMatrix2D x,
                   double[] y)
```
    Trains and returns a copy of this classifier using the supplied data.
    
    Parameters:
    
    x - the attributes of the instances.
    
    y - the targets of the instances.
    
    Returns:
    
    a new IClassifier instance trained with the supplied data and using the same algorithm and parameter settings as the parent instance.
  - predict
```
double predict(cern.colt.matrix.DoubleMatrix1D instance)
```
    Predicts the target for the supplied instance.
    
    Parameters:
    
    instance - the instance
    
    Returns:
    
    the predicted target of the instance.