TEES.Classifiers.ExternalClassifier.ExternalClassifier

Class ExternalClassifier

A wrapper for external classifier executables.

Instance Methods

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__init__(self, connection=None)

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classify(self, examples, output, model=None, finishBeforeReturn=False, replaceRemoteFiles=True)

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downloadModel(self, outPath=None, breakConnection=True)

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downloadPredictions(self, outPath=None)

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getExampleFile(self, examples, upload=True, replaceRemote=True, dummy=False)

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getJob(self)

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getStatus(self)

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optimize(self, examples, outDir, parameters, classifyExamples, classIds, step='BOTH', evaluator=None, determineThreshold=False, timeout=None, downloadAllModels=False) source code

setState(self, stateName)

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train(self, examples, outDir, parameters, classifyExamples=None, finishBeforeReturn=False, replaceRemoteExamples=True, dummy=False)

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Class Methods

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getFileCounter(cls, filename, add=0, createIfNotExist=False, removeIfZero=False)
Keep track of the number of users on a temporary file

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getUnzipped(cls, filename)
Temporarily uncompress a file, usually a compressed example file.

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classify(self, examples, output, model=None, finishBeforeReturn=False, replaceRemoteFiles=True)

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Overrides: Classifier.Classifier.classify

getUnzipped(cls, filename)
Class Method

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Temporarily uncompress a file, usually a compressed example file. The uncompressed file appears in the same location as the original file. The /tmp directory is as these examples are usually used by a classifier that is run in separate process, which on clusters might end up on a different node, where the local /tmp is no longer accessible.

optimize(self, examples, outDir, parameters, classifyExamples, classIds, step=`'BOTH'`, evaluator=None, determineThreshold=False, timeout=None, downloadAllModels=False)

source code

Overrides: Classifier.Classifier.optimize

train(self, examples, outDir, parameters, classifyExamples=None, finishBeforeReturn=False, replaceRemoteExamples=True, dummy=False)

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Overrides: Classifier.Classifier.train

Class ExternalClassifier

classify(self, examples, output, model=None, finishBeforeReturn=False, replaceRemoteFiles=True)

getUnzipped(cls, filename) Class Method

optimize(self, examples, outDir, parameters, classifyExamples, classIds, step='BOTH', evaluator=None, determineThreshold=False, timeout=None, downloadAllModels=False)

train(self, examples, outDir, parameters, classifyExamples=None, finishBeforeReturn=False, replaceRemoteExamples=True, dummy=False)

getUnzipped(cls, filename)
Class Method

optimize(self, examples, outDir, parameters, classifyExamples, classIds, step=`'BOTH'`, evaluator=None, determineThreshold=False, timeout=None, downloadAllModels=False)