def test_perfect_match(self):
ret = dummy_format_factory(['zero'])
rel = dummy_format_factory(['zero'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertAlmostEqual(r.precision, 1)
self.assertAlmostEqual(r.recall, 1)
self.assertAlmostEqual(r.f1_score, 1)
def test_missmatch(self):
ret = dummy_format_factory(['one', 'four'])
rel = dummy_format_factory(['two', 'three'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertEqual(r.precision, 0)
self.assertEqual(r.recall, 0)
self.assertTrue(math.isinf(r.f1_score))
def test_match(self):
ret = dummy_format_factory(['zero', 'one', 'two', 'four'])
rel = dummy_format_factory(['one', 'two', 'three'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertAlmostEqual(r.precision, 0.5)
self.assertAlmostEqual(r.recall, 0.6666, delta=0.0001)
self.assertAlmostEqual(r.f1_score, 0.5714, delta=0.001)
def test_perfect_match(self):
ret = dummy_format_factory(['zero'])
rel = dummy_format_factory(['zero'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertAlmostEqual(r.precision, 1)
self.assertAlmostEqual(r.recall, 1)
self.assertAlmostEqual(r.f1_score, 1)
def test_both_empty(self):
ret = dummy_format_factory([])
rel = dummy_format_factory([])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertTrue(math.isinf(r.precision))
self.assertTrue(math.isinf(r.recall))
self.assertTrue(math.isnan(r.f1_score))
def test_match(self):
ret = dummy_format_factory(['zero','one','two','four'])
rel = dummy_format_factory(['one','two','three'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertAlmostEqual(r.precision, 0.5)
self.assertAlmostEqual(r.recall, 0.6666, delta = 0.0001)
self.assertAlmostEqual(r.f1_score, 0.5714, delta = 0.001)
def test_missmatch(self):
ret = dummy_format_factory(['one','four'])
rel = dummy_format_factory(['two','three'])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertEqual(r.precision, 0)
self.assertEqual(r.recall, 0)
self.assertTrue(math.isinf(r.f1_score))
def test_both_empty(self):
ret = dummy_format_factory([])
rel = dummy_format_factory([])
# args: TextOnlyEvaluator(retrieved, relevant)
e = TextOnlyEvaluator(ret, rel)
r = e.get_eval_results()
self.assertTrue(math.isinf(r.precision))
self.assertTrue(math.isinf(r.recall))
self.assertTrue(math.isnan(r.f1_score))
def single_evaluation(extractor_cls, results, dataset_type, dataset_name):
logger.info('started evaluating extractor %s', extractor_cls.NAME)
results.set_extractor(extractor_cls.SLUG)
storage = LocalResultStorage(dataset_name, extractor_cls)
loader = LocalDatasetLoader(dataset_name)
for doc in loader:
logger.debug('doc: %s', doc.id)
format_clean = from_document_factory(doc, slug=dataset_type)
try:
result_string = storage.fetch_result(doc)
except DataError:
logger.info('no stored result for %s at %s extractor', doc.id,
extractor_cls.NAME)
continue
else:
format_result = extractor_cls.formatted_result(result_string)
evaluator = TextOnlyEvaluator(retrieved=format_result,
relevant=format_clean,
id=doc.id)
results.add_result(evaluator.get_eval_results())
def single_evaluation(extractor_cls, results, dataset_type, dataset_name):
logger.info('started evaluating extractor %s', extractor_cls.NAME)
results.set_extractor(extractor_cls.SLUG)
storage = LocalResultStorage(dataset_name, extractor_cls)
loader = LocalDatasetLoader(dataset_name)
for doc in loader:
logger.debug('doc: %s', doc.id)
format_clean = from_document_factory(doc, slug = dataset_type)
try:
result_string = storage.fetch_result(doc)
except DataError:
logger.info('no stored result for %s at %s extractor',
doc.id, extractor_cls.NAME)
continue
else:
format_result = extractor_cls.formatted_result(result_string)
evaluator = TextOnlyEvaluator(
retrieved = format_result,
relevant = format_clean,
id = doc.id)
results.add_result(evaluator.get_eval_results())
