MOA 12.03
Real Time Analytics for Data Streams
moa.evaluation.BasicRegressionPerformanceEvaluator Class Reference

Regression evaluator that performs basic incremental evaluation. More...

Inheritance diagram for moa.evaluation.BasicRegressionPerformanceEvaluator:
Collaboration diagram for moa.evaluation.BasicRegressionPerformanceEvaluator:

List of all members.

Public Member Functions

void reset ()
 Resets this evaluator.
void addResult (Instance inst, double[] prediction)
 Adds a learning result to this evaluator.
Measurement[] getPerformanceMeasurements ()
 Gets the current measurements monitored by this evaluator.
double getTotalWeightObserved ()
double getMeanError ()
double getSquareError ()
void getDescription (StringBuilder sb, int indent)
 Returns a string representation of this object.

Protected Attributes

double weightObserved
double squareError
double averageError

Detailed Description

Regression evaluator that performs basic incremental evaluation.

Author:
Albert Bifet (abifet at cs dot waikato dot ac dot nz)
Version:
Revision:
7

Definition at line 32 of file BasicRegressionPerformanceEvaluator.java.


Member Function Documentation

void moa.evaluation.BasicRegressionPerformanceEvaluator.addResult ( Instance  inst,
double[]  classVotes 
)

Adds a learning result to this evaluator.

Parameters:
instthe instance to be classified
classVotesan array containing the estimated membership probabilities of the test instance in each class
Returns:
an array of measurements monitored in this evaluator

Implements moa.evaluation.ClassificationPerformanceEvaluator.

Definition at line 51 of file BasicRegressionPerformanceEvaluator.java.

void moa.evaluation.BasicRegressionPerformanceEvaluator.getDescription ( StringBuilder  sb,
int  indent 
)

Returns a string representation of this object.

Used in AbstractMOAObject.toString to give a string representation of the object.

Parameters:
sbthe stringbuilder to add the description
indentthe number of characters to indent

Implements moa.MOAObject.

Definition at line 88 of file BasicRegressionPerformanceEvaluator.java.

Here is the call graph for this function:

double moa.evaluation.BasicRegressionPerformanceEvaluator.getMeanError ( )

Definition at line 77 of file BasicRegressionPerformanceEvaluator.java.

Referenced by moa.evaluation.BasicRegressionPerformanceEvaluator.getPerformanceMeasurements().

Here is the caller graph for this function:

Measurement [] moa.evaluation.BasicRegressionPerformanceEvaluator.getPerformanceMeasurements ( )

Gets the current measurements monitored by this evaluator.

Returns:
an array of measurements monitored by this evaluator

Implements moa.evaluation.ClassificationPerformanceEvaluator.

Definition at line 63 of file BasicRegressionPerformanceEvaluator.java.

Referenced by moa.evaluation.BasicRegressionPerformanceEvaluator.getDescription().

Here is the call graph for this function:

Here is the caller graph for this function:

double moa.evaluation.BasicRegressionPerformanceEvaluator.getSquareError ( )

Definition at line 82 of file BasicRegressionPerformanceEvaluator.java.

Referenced by moa.evaluation.BasicRegressionPerformanceEvaluator.getPerformanceMeasurements().

Here is the caller graph for this function:

double moa.evaluation.BasicRegressionPerformanceEvaluator.getTotalWeightObserved ( )

Definition at line 73 of file BasicRegressionPerformanceEvaluator.java.

Referenced by moa.evaluation.BasicRegressionPerformanceEvaluator.getPerformanceMeasurements().

Here is the caller graph for this function:

void moa.evaluation.BasicRegressionPerformanceEvaluator.reset ( )

Resets this evaluator.

It must be similar to starting a new evaluator from scratch.

Implements moa.evaluation.ClassificationPerformanceEvaluator.

Definition at line 44 of file BasicRegressionPerformanceEvaluator.java.


Member Data Documentation


The documentation for this class was generated from the following file:
 All Classes Namespaces Files Functions Variables Enumerations