MOA 12.03
Real Time Analytics for Data Streams
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Public Member Functions | |
String | getPurposeString () |
Gets the purpose of this object. | |
Class<?> | getTaskResultType () |
Defines the task's result type. | |
Public Attributes | |
ClassOption | learnerOption |
Allows to select the trained classifier. | |
ClassOption | streamOption |
Allows to select the stream the classifier will learn. | |
ClassOption | evaluatorOption |
Allows to select the classifier performance evaluation method. | |
IntOption | instanceLimitOption |
Allows to define the maximum number of instances to test/train on (-1 = no limit). | |
IntOption | chunkSizeOption |
Allow to define the training/testing chunk size. | |
IntOption | timeLimitOption |
Allows to define the maximum number of seconds to test/train for (-1 = no limit). | |
IntOption | sampleFrequencyOption |
Defines how often classifier parameters will be calculated. | |
IntOption | maxMemoryOption |
Allows to define the memory limit for the created model. | |
IntOption | memCheckFrequencyOption |
Allows to define the frequency of memory checks. | |
FileOption | dumpFileOption |
Allows to define the output file name and location. | |
Protected Member Functions | |
Object | doMainTask (TaskMonitor monitor, ObjectRepository repository) |
This method performs this task. |
Definition at line 39 of file EvaluateInterleavedChunks.java.
Object moa.tasks.EvaluateInterleavedChunks.doMainTask | ( | TaskMonitor | monitor, |
ObjectRepository | repository | ||
) | [protected, virtual] |
This method performs this task.
AbstractTask
implements doTask
, that uses doTaskImpl
. MainTask
implements doTaskImpl
using doMainTask
so its extensions only need to implement doMainTask
.
monitor | the TaskMonitor to use |
repository | the ObjectRepository to use |
Implements moa.tasks.MainTask.
Definition at line 127 of file EvaluateInterleavedChunks.java.
String moa.tasks.EvaluateInterleavedChunks.getPurposeString | ( | ) |
Gets the purpose of this object.
Reimplemented from moa.options.AbstractOptionHandler.
Definition at line 42 of file EvaluateInterleavedChunks.java.
Class<?> moa.tasks.EvaluateInterleavedChunks.getTaskResultType | ( | ) |
Defines the task's result type.
Implements moa.tasks.Task.
Definition at line 122 of file EvaluateInterleavedChunks.java.
new IntOption("chunkSize", 'c', "Number of instances in a data chunk.", 1000, 1, Integer.MAX_VALUE)
Allow to define the training/testing chunk size.
Definition at line 79 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new FileOption("dumpFile", 'd', "File to append intermediate csv reslts to.", null, "csv", true)
Allows to define the output file name and location.
Definition at line 116 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new ClassOption("evaluator", 'e', "Classification performance evaluation method.", ClassificationPerformanceEvaluator.class, "BasicClassificationPerformanceEvaluator")
Allows to select the classifier performance evaluation method.
Definition at line 64 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new IntOption("instanceLimit", 'i', "Maximum number of instances to test/train on (-1 = no limit).", 100000000, -1, Integer.MAX_VALUE)
Allows to define the maximum number of instances to test/train on (-1 = no limit).
Definition at line 72 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new ClassOption("learner", 'l', "Classifier to train.", Classifier.class, "bayes.NaiveBayes")
Allows to select the trained classifier.
Definition at line 51 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new IntOption("maxMemory", 'b', "Maximum size of model (in bytes). -1 = no limit.", -1, -1, Integer.MAX_VALUE)
Allows to define the memory limit for the created model.
Definition at line 101 of file EvaluateInterleavedChunks.java.
new IntOption( "memCheckFrequency", 'q', "How many instances between memory bound checks.", 100000, 0, Integer.MAX_VALUE)
Allows to define the frequency of memory checks.
Definition at line 108 of file EvaluateInterleavedChunks.java.
new IntOption("sampleFrequency", 'f', "How many instances between samples of the learning performance.", 100000, 0, Integer.MAX_VALUE)
Defines how often classifier parameters will be calculated.
Definition at line 93 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new ClassOption("stream", 's', "Stream to learn from.", InstanceStream.class, "generators.RandomTreeGenerator")
Allows to select the stream the classifier will learn.
Definition at line 57 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().
new IntOption("timeLimit", 't', "Maximum number of seconds to test/train for (-1 = no limit).", -1, -1, Integer.MAX_VALUE)
Allows to define the maximum number of seconds to test/train for (-1 = no limit).
Definition at line 86 of file EvaluateInterleavedChunks.java.
Referenced by moa.tasks.EvaluateInterleavedChunks.doMainTask().