def _predict_processing(self , predict_path , output_path) :
if isinstance(output_path , file) :
output_f = output_path
else :
if output_path == "stdout" :
output_f = sys.stdout
else :
output_f = open(output_path , "w")
logging.info("set output %s " %(output_f.name))
logging.info("reading instance from %s . predicting ." %(predict_path))
for instance , separator_data in DatasetHandler.read_predict_data(predict_path) :
self.constrain.set_constrain_data(separator_data)
predict_tags = Decoder.decode_for_predict(self.extractor , self.model , self.constrain , instance)
segmented_line = self._processing_unigrams_and_tags2segmented_line(instance,predict_tags)
output_f.write("%s" %( "".join([segmented_line , os.linesep]) ) )
if output_f is not sys.stdout :
output_f.close()
logging.info("predicting done.")
def _predict_processing(self, predict_path, output_path):
if isinstance(output_path, file):
output_f = output_path
else:
if output_path == "stdout":
output_f = sys.stdout
else:
output_f = open(output_path, "w")
logging.info("set output %s " % (output_f.name))
logging.info("reading instance from %s . predicting ." %
(predict_path))
for instance, separator_data in DatasetHandler.read_predict_data(
predict_path):
self.constrain.set_constrain_data(separator_data)
predict_tags = Decoder.decode_for_predict(self.extractor,
self.model,
self.constrain, instance)
segmented_line = self._processing_unigrams_and_tags2segmented_line(
instance, predict_tags)
output_f.write("%s" % ("".join([segmented_line, os.linesep])))
if output_f is not sys.stdout:
output_f.close()
logging.info("predicting done.")
