ClassificationScheme (Dataflow Library Distribution Project 8.2.0-176 API)

java.lang.Object
- com.pervasive.datarush.analytics.knn.ClassificationScheme

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

VotingClassification
```
public abstract class ClassificationScheme
extends Object
implements Serializable
```
Determines how to classify a query record based on its nearest neighbors.

See Also:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`static interface`	`ClassificationScheme.Classifier`	Resolves the class of a query record from a set of neighbors.
`static class`	`ClassificationScheme.Distance`	Representation of the distance between two points.

Constructor Summary

Constructors
Constructor Description

ClassificationScheme()

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`static ClassificationScheme`	`avg()`	Resolves the class of the query record by doing a straight average of all neighbors.
`abstract boolean`	`isValidTargetType(ScalarTokenType type)`	Indicates whether the classification method is valid for the specified type.
`abstract ClassificationScheme.Classifier`	`newClassifier(int k)`	Creates a new classifier for use.
`static ClassificationScheme`	`vote()`	Resolves the class of the query records by simple plurality of all neighbors (alternatively, the mode of the neighbors).

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

- Constructor Detail
  - ClassificationScheme
```
public ClassificationScheme()
```
- Method Detail
  - isValidTargetType
```
public abstract boolean isValidTargetType(ScalarTokenType type)
```
    Indicates whether the classification method is valid for the specified type. Some classifiers may only be applicable to continuous data.
    
    Parameters:
    
    type - the type of the class data
    
    Returns:
    
    true if the data type is compatible, false otherwise.
  - newClassifier
```
public abstract ClassificationScheme.Classifier newClassifier(int k)
```
    Creates a new classifier for use.
    
    Parameters:
    
    k - the number of neighbors to expect.
    
    Returns:
    
    a new classifier
  - avg
```
public static ClassificationScheme avg()
```
    Resolves the class of the query record by doing a straight average of all neighbors.
    This scheme is only applicable when the target feature is a continuous data type.
    
    Returns:
    
    a method which averages the neighbors
  - vote
```
public static ClassificationScheme vote()
```
    Resolves the class of the query records by simple plurality of all neighbors (alternatively, the mode of the neighbors). In case of a tie, the class of the nearest neighbor is returned.
    
    Returns:
    
    a method which decides by a vote of neighbors