Modifier and Type | Class and Description |
---|---|
class |
ArffFileStream
Stream reader of ARFF files.
|
class |
CachedInstancesStream
Stream generator for representing a stream that is cached in memory.
|
class |
ConceptDriftRealStream
Stream generator that adds concept drift to examples in a stream with
different classes and attributes.
|
class |
ConceptDriftStream
Stream generator that adds concept drift to examples in a stream.
|
class |
FilteredStream
Class for representing a stream that is filtered.
|
class |
MultiFilteredStream
Class for representing a stream that is filtered.
|
Modifier and Type | Field and Description |
---|---|
protected InstanceStream |
ConceptDriftStream.driftStream |
protected InstanceStream |
ConceptDriftRealStream.driftStream |
protected InstanceStream |
MultiFilteredStream.filterChain |
protected InstanceStream |
FilteredStream.filterChain |
protected InstanceStream |
ConceptDriftStream.inputStream |
protected InstanceStream |
ConceptDriftRealStream.inputStream |
Modifier and Type | Class and Description |
---|---|
class |
ClusteringStream |
class |
FileStream |
class |
RandomRBFGeneratorEvents |
Modifier and Type | Interface and Description |
---|---|
interface |
StreamFilter
Interface representing a stream filter.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractStreamFilter
Abstract Stream Filter.
|
class |
AddNoiseFilter
Filter for adding random noise to examples in a stream.
|
class |
CacheFilter
Filter for representing a stream that is cached in memory.
|
class |
ReplacingMissingValuesFilter
Replaces the missing values with another value according to the selected
strategy.
|
Modifier and Type | Field and Description |
---|---|
protected InstanceStream |
AbstractStreamFilter.inputStream
The input stream to this filter.
|
Modifier and Type | Method and Description |
---|---|
void |
StreamFilter.setInputStream(InstanceStream stream)
Sets the input stream to the filter
|
void |
AbstractStreamFilter.setInputStream(InstanceStream stream) |
Modifier and Type | Class and Description |
---|---|
class |
AgrawalGenerator
Stream generator for Agrawal dataset.
|
class |
HyperplaneGenerator
Stream generator for Hyperplane data stream.
|
class |
LEDGenerator
Stream generator for the problem of predicting the digit displayed on a 7-segment LED display.
|
class |
LEDGeneratorDrift
Stream generator for the problem of predicting the digit displayed on a 7-segment LED display with drift.
|
class |
RandomRBFGenerator
Stream generator for a random radial basis function stream.
|
class |
RandomRBFGeneratorDrift
Stream generator for a random radial basis function stream with drift.
|
class |
RandomTreeGenerator
Stream generator for a stream based on a randomly generated tree..
|
class |
SEAGenerator
Stream generator for SEA concepts functions.
|
class |
STAGGERGenerator
Stream generator for STAGGER Concept functions.
|
class |
WaveformGenerator
Stream generator for the problem of predicting one of three waveform types.
|
class |
WaveformGeneratorDrift
Stream generator for the problem of predicting one of three waveform types with drift.
|
Modifier and Type | Interface and Description |
---|---|
interface |
ConceptDriftGenerator |
Modifier and Type | Class and Description |
---|---|
class |
AbruptChangeGenerator |
class |
AbstractConceptDriftGenerator |
class |
GradualChangeGenerator |
class |
NoChangeGenerator |
Modifier and Type | Class and Description |
---|---|
class |
MetaMultilabelGenerator
Stream generator for multilabel data.
|
class |
MultilabelArffFileStream
Stream reader for ARFF files of multilabel data.
|
Modifier and Type | Field and Description |
---|---|
protected InstanceStream |
MetaMultilabelGenerator.m_BinaryGenerator |
Constructor and Description |
---|
EvaluateModel(Classifier model,
InstanceStream stream,
ClassificationPerformanceEvaluator evaluator,
int maxInstances) |
EvaluateModelRegression(Classifier model,
InstanceStream stream,
ClassificationPerformanceEvaluator evaluator,
int maxInstances) |
LearnModel(Classifier learner,
InstanceStream stream,
int maxInstances,
int numPasses) |
LearnModelRegression(Classifier learner,
InstanceStream stream,
int maxInstances,
int numPasses) |
Modifier and Type | Field and Description |
---|---|
protected InstanceStream |
MOA.m_ActualGenerator
the actual data generator.
|
Copyright © 2014 University of Waikato, Hamilton, NZ. All Rights Reserved.