@Generated(value="com.amazonaws:awsjavasdkcodegenerator") public class ConfusionMatrix extends Object implements Serializable, Cloneable, StructuredPojo
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
For more information, see Confusion matrix in Wikipedia.
Constructor and Description 

ConfusionMatrix() 
Modifier and Type  Method and Description 

ConfusionMatrix 
clone() 
boolean 
equals(Object obj) 
Long 
getNumFalseNegatives()
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.

Long 
getNumFalsePositives()
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion
matrix for your transform.

Long 
getNumTrueNegatives()
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your
transform.

Long 
getNumTruePositives()
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.

int 
hashCode() 
void 
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . 
void 
setNumFalseNegatives(Long numFalseNegatives)
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.

void 
setNumFalsePositives(Long numFalsePositives)
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion
matrix for your transform.

void 
setNumTrueNegatives(Long numTrueNegatives)
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your
transform.

void 
setNumTruePositives(Long numTruePositives)
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.

String 
toString()
Returns a string representation of this object.

ConfusionMatrix 
withNumFalseNegatives(Long numFalseNegatives)
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.

ConfusionMatrix 
withNumFalsePositives(Long numFalsePositives)
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion
matrix for your transform.

ConfusionMatrix 
withNumTrueNegatives(Long numTrueNegatives)
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your
transform.

ConfusionMatrix 
withNumTruePositives(Long numTruePositives)
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.

public void setNumTruePositives(Long numTruePositives)
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.
numTruePositives
 The number of matches in the data that the transform correctly found, in the confusion matrix for your
transform.public Long getNumTruePositives()
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.
public ConfusionMatrix withNumTruePositives(Long numTruePositives)
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.
numTruePositives
 The number of matches in the data that the transform correctly found, in the confusion matrix for your
transform.public void setNumFalsePositives(Long numFalsePositives)
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.
numFalsePositives
 The number of nonmatches in the data that the transform incorrectly classified as a match, in the
confusion matrix for your transform.public Long getNumFalsePositives()
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.
public ConfusionMatrix withNumFalsePositives(Long numFalsePositives)
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.
numFalsePositives
 The number of nonmatches in the data that the transform incorrectly classified as a match, in the
confusion matrix for your transform.public void setNumTrueNegatives(Long numTrueNegatives)
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.
numTrueNegatives
 The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for
your transform.public Long getNumTrueNegatives()
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.
public ConfusionMatrix withNumTrueNegatives(Long numTrueNegatives)
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.
numTrueNegatives
 The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for
your transform.public void setNumFalseNegatives(Long numFalseNegatives)
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.
numFalseNegatives
 The number of matches in the data that the transform didn't find, in the confusion matrix for your
transform.public Long getNumFalseNegatives()
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.
public ConfusionMatrix withNumFalseNegatives(Long numFalseNegatives)
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.
numFalseNegatives
 The number of matches in the data that the transform didn't find, in the confusion matrix for your
transform.public String toString()
toString
in class Object
Object.toString()
public ConfusionMatrix clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
 Implementation of ProtocolMarshaller
used to marshall this object's data.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.