def 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):
exampleStyle = Parameters.cat(exampleStyle, "keep_neg:no_features")
EdgeDetector.train(self, trainData, optData, model, combinedModel, exampleStyle, classifierParameters, parse, tokenization, fromStep, toStep)
self.classify(trainData, model, "classification-train/train", goldData=trainData, workDir="classification-train")
def 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):
exampleStyle = Parameters.cat(exampleStyle, "keep_neg:no_features")
EdgeDetector.train(self, trainData, optData, model, combinedModel,
exampleStyle, classifierParameters, parse,
tokenization, fromStep, toStep)
self.classify(trainData,
model,
"classification-train/train",
goldData=trainData,
workDir="classification-train")
def __init__(self):
EdgeDetector.__init__(self)
self.Classifier = AllCorrectClassifier
def __init__(self):
EdgeDetector.__init__(self)
self.Classifier = AllCorrectClassifier
