def test(results):
test_file = results.test
logger.debug( 'Started testing with options:' + "\n" +
'test file: ' + str(results.test) + "\n")
logger.info("Loading model and meta_data")
model = read_obj('model')
meta_data= read_obj('meta_data')
if not os.path.exists('model/test.feats'):
test_feats = extract_feats(meta_data,test_file)
logger.info("Done feature extraction for testing data, writing in test.feats")
write_obj(test_feats,'test.feats')
else:
logger.info("test.feats already exists ... loading.")
test_feats = read_obj('test.feats')
classifier = Perceptron(meta_data)
classifier.load_theta(model)
classifier.test(test_feats)
