def test_input_scorer_fitter(self):
heart_disease = Table('heart_disease')
self.assertEqual(self.widget.scorers, {})
model = self.widget.ranksModel
for fitter, name in ((RandomForestLearner(), 'random forest'),
(SGDLearner(), 'sgd')):
with self.subTest(fitter=fitter),\
warnings.catch_warnings():
warnings.filterwarnings("ignore", ".*", ConvergenceWarning)
self.send_signal("Scorer", fitter, 1)
for data in (self.housing, heart_disease):
with self.subTest(data=data.name):
self.send_signal('Data', data)
self.wait_until_finished()
scores = [
model.data(
model.index(row,
model.columnCount() - 1))
for row in range(model.rowCount())
]
self.assertEqual(len(scores),
len(data.domain.attributes))
self.assertFalse(np.isnan(scores).any())
last_column = model.headerData(model.columnCount() - 1,
Qt.Horizontal).lower()
self.assertIn(name, last_column)
self.send_signal("Scorer", None, 1)
self.assertEqual(self.widget.scorers, {})
def test_input_scorer_fitter(self):
heart_disease = Table("heart_disease")
self.assertEqual(self.widget.scorers, {})
model = self.widget.ranksModel
for fitter, name in (
(RandomForestLearner(), "random forest"),
(SGDLearner(), "sgd"),
):
with self.subTest(fitter=fitter):
self.send_signal("Scorer", fitter, 1)
for data in (self.housing, heart_disease):
with self.subTest(data=data.name):
self.send_signal("Data", data)
scores = [
model.data(
model.index(row,
model.columnCount() - 1))
for row in range(model.rowCount())
]
self.assertEqual(len(scores),
len(data.domain.attributes))
self.assertFalse(np.isnan(scores).any())
last_column = model.headerData(model.columnCount() - 1,
Qt.Horizontal).lower()
self.assertIn(name, last_column)
self.send_signal("Scorer", None, 1)
self.assertEqual(self.widget.scorers, {})