Class OrangeProcessor

Handles the conversion of the generic data objects to a format handled by Orange library

Instance Methods

__init__(self, dataSet, class_name='', desired_attributes=[], meta_attributes=[], keep_temp=False) source code

get_data(self)

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get_dataset(self)

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print_statistics(self)

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__createTempFile__(self)

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__writeTempFile__(self, data)

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__get_orange_header__(self, dataset, class_name, attribute_names, desired_attributes=[], meta_attributes=[]) source code

__getOrangeFormat__(self, dataset, class_name, desired_attributes=[], meta_attributes=[]) source code

process_parallelsentence(self, psentence)

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split_data(self, percentage)

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cross_validation(self)

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get_SVM(self)

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classify_with(self, classifier)
Utility function which classifies the test data with the given classifier

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get_accuracy(self, classifiers)

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