A Detector for a text mining problem that can be represented as a
single classification task.
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beginModel(self,
step,
model,
trainExampleFiles,
testExampleFile,
importIdsFromModel=None)
Begin the training process leading to a new model. |
source code
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| classify(self,
data,
model,
output,
parse=None,
task=None,
goldData=None,
workDir=None,
fromStep=None,
omitSteps=None) |
source code
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classifyToXML(self,
data,
model,
exampleFileName=None,
tag='',
classifierModel=None,
goldData=None,
parse=None,
recallAdjust=None,
compressExamples=True,
exampleStyle=None) |
source code
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| endModel(self,
step,
model,
testExampleFile) |
source code
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| train(self,
trainData=None,
optData=None,
model=None,
combinedModel=None,
exampleStyle=None,
classifierParameters=None,
parse=None,
tokenization=None,
task=None,
fromStep=None,
toStep=None,
workDir=None) |
source code
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Inherited from Detector.Detector:
__del__,
addClassifierModel,
buildExamples,
checkStep,
deleteTempWorkDir,
enterState,
exitState,
getBioNLPSharedTaskParams,
getModel,
getStepStatus,
getStr,
initModel,
initVariables,
openModel,
saveStr,
saveStrings,
setConnection,
setTempWorkDir,
setWorkDir
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