Package | Description |
---|---|
moa.classifiers | |
moa.classifiers.multilabel | |
moa.classifiers.multilabel.meta | |
moa.core | |
moa.evaluation | |
moa.learners | |
moa.streams | |
moa.streams.filters | |
moa.tasks |
Modifier and Type | Method and Description |
---|---|
Prediction |
AbstractMultiLabelLearner.getPredictionForInstance(Example<Instance> example) |
Prediction |
AbstractClassifier.getPredictionForInstance(Example<Instance> example) |
double[] |
AbstractClassifier.getVotesForInstance(Example<Instance> example) |
void |
AbstractClassifier.trainOnInstance(Example<Instance> example) |
Modifier and Type | Method and Description |
---|---|
Prediction |
MultilabelHoeffdingTree.getPredictionForInstance(Example<Instance> example) |
Modifier and Type | Method and Description |
---|---|
static Prediction |
OzaBagML.compilePredictions(Classifier[] h,
Example example) |
Prediction |
OzaBagAdwinML.getPredictionForInstance(Example<Instance> example) |
Prediction |
OzaBagML.getPredictionForInstance(Example<Instance> example) |
Modifier and Type | Class and Description |
---|---|
class |
InstanceExample |
Modifier and Type | Method and Description |
---|---|
Example |
Example.copy() |
Example |
InstanceExample.copy() |
Modifier and Type | Interface and Description |
---|---|
interface |
LearningPerformanceEvaluator<E extends Example>
Interface implemented by learner evaluators to monitor
the results of the learning process.
|
Modifier and Type | Method and Description |
---|---|
void |
BasicMultiTargetPerformanceEvaluator.addResult(Example<Instance> example,
double[] classVotes) |
void |
BasicAUCImbalancedPerformanceEvaluator.addResult(Example<Instance> exampleInstance,
double[] classVotes) |
void |
BasicMultiLabelPerformanceEvaluator.addResult(Example<Instance> example,
double[] classVotes) |
void |
BasicClassificationPerformanceEvaluator.addResult(Example<Instance> example,
double[] classVotes) |
void |
WindowRegressionPerformanceEvaluator.addResult(Example<Instance> example,
double[] prediction) |
void |
MultiTargetWindowRegressionPerformanceEvaluator.addResult(Example<Instance> example,
double[] prediction) |
void |
BasicConceptDriftPerformanceEvaluator.addResult(Example<Instance> example,
double[] classVotes) |
void |
BasicRegressionPerformanceEvaluator.addResult(Example<Instance> example,
double[] prediction) |
void |
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.addResult(Example<Instance> example,
double[] prediction) |
void |
WindowAUCImbalancedPerformanceEvaluator.addResult(Example<Instance> exampleInstance,
double[] classVotes) |
void |
BasicMultiTargetPerformanceRelativeMeasuresEvaluator.addResult(Example<Instance> example,
double[] classVotes) |
void |
BasicMultiTargetPerformanceEvaluator.addResult(Example<Instance> example,
Prediction prediction) |
void |
BasicAUCImbalancedPerformanceEvaluator.addResult(Example<Instance> arg0,
Prediction arg1) |
void |
BasicMultiLabelPerformanceEvaluator.addResult(Example<Instance> example,
Prediction y) |
void |
BasicClassificationPerformanceEvaluator.addResult(Example<Instance> testInst,
Prediction prediction) |
void |
WindowRegressionPerformanceEvaluator.addResult(Example<Instance> testInst,
Prediction prediction) |
void |
MultiTargetWindowRegressionPerformanceEvaluator.addResult(Example<Instance> testInst,
Prediction prediction) |
void |
BasicConceptDriftPerformanceEvaluator.addResult(Example<Instance> testInst,
Prediction prediction) |
void |
BasicRegressionPerformanceEvaluator.addResult(Example<Instance> example,
Prediction prediction) |
void |
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.addResult(Example<Instance> testInst,
Prediction prediction) |
void |
WindowAUCImbalancedPerformanceEvaluator.addResult(Example<Instance> arg0,
Prediction arg1) |
void |
BasicMultiTargetPerformanceRelativeMeasuresEvaluator.addResult(Example<Instance> example,
Prediction prediction) |
void |
ALClassificationPerformanceEvaluator.doLabelAcqReport(Example<Instance> trainInst,
int labelAcquired)
Reports if a label of an instance was acquired.
|
void |
ALWindowClassificationPerformanceEvaluator.doLabelAcqReport(Example<Instance> trainInst,
int labelAcquired)
Receives the information if a label has been acquired and increases counters.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Learner<E extends Example>
Learner interface for incremental learning models.
|
interface |
LearnerSemiSupervised<E extends Example> |
Modifier and Type | Interface and Description |
---|---|
interface |
ExampleStream<E extends Example>
Interface representing a data stream of examples.
|
Modifier and Type | Field and Description |
---|---|
protected Example<Instance> |
BootstrappedStream.queuedInstance |
Modifier and Type | Method and Description |
---|---|
Example<Instance> |
PartitioningStream.nextInstance() |
Example |
RecurrentConceptDriftStream.nextInstance() |
Example<Instance> |
ImbalancedStream.nextInstance() |
Example |
FilteredStream.nextInstance() |
Example |
ConceptDriftStream.nextInstance() |
Example<Instance> |
IrrelevantFeatureAppenderStream.nextInstance() |
Example |
MultiLabelFilteredStream.nextInstance() |
Example<Instance> |
BootstrappedStream.nextInstance() |
Example |
MultiFilteredStream.nextInstance() |
Modifier and Type | Field and Description |
---|---|
protected ExampleStream<Example<Instance>> |
AbstractMultiLabelStreamFilter.inputStream
The input stream to this filter.
|
Modifier and Type | Method and Description |
---|---|
void |
AbstractMultiLabelStreamFilter.setInputStream(ExampleStream<Example<Instance>> stream) |
void |
MultiLabelStreamFilter.setInputStream(ExampleStream<Example<Instance>> stream)
Sets the input stream to the filter
|
Modifier and Type | Field and Description |
---|---|
protected LinkedList<Example> |
EvaluatePrequentialDelayed.trainInstances |
protected LinkedList<LinkedList<Example>> |
EvaluatePrequentialDelayedCV.trainInstances |
Copyright © 2019 University of Waikato, Hamilton, NZ. All Rights Reserved.