classify(input,
model,
output,
workDir=None,
step=None,
omitSteps=None,
goldInput=None,
detector=None,
debug=False,
clear=False,
preprocessorTag='-preprocessed.xml.gz',
preprocessorParams=None,
bioNLPSTParams=None)
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Detect events or relations from text.
- Parameters:
input - The input file in either interaction XML or BioNLP ST format. Can
also be a PMID or TEES default corpus name.model - A path to a model file or the name of a TEES default model.output - The output file stem. Output files will be of the form output-*workDir - If intermediate files need to be saved, they will go here.step - A step=substep pair, where the steps are PREPROCESS and CLASSIFYomitSteps - step=substep parameters, where multiple substeps can be defined.goldInput - a version of the corpus file with gold annotation. Enables
measuring of performancedetector - a Detector object, or a string defining one to be imported. If
None, will be read from model.debug - In debug mode, more output is shown, and some temporary
intermediate files are savedclear - Remove existing workDirpreprocessorTag - preprocessor output file will be output + preprocessorTagpreprocessorParams - Optional parameters controlling preprocessing. If None, will be
read from model.bioNLPSTParams - Optional parameters controlling BioNLP ST format output. If None,
will be read from model.
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