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4 changes: 4 additions & 0 deletions Orange/widgets/evaluate/owtestlearners.py
Original file line number Diff line number Diff line change
Expand Up @@ -206,6 +206,7 @@ class Error(OWWidget.Error):
class_inconsistent = Msg("Test and train data sets "
"have different target variables.")
memory_error = Msg("Not enough memory.")
no_class_values = Msg("Target variable has no values.")
only_one_class_var_value = Msg("Target variable has only one value.")

class Warning(OWWidget.Warning):
Expand Down Expand Up @@ -356,16 +357,19 @@ def set_train_data(self, data):
self.Error.train_data_empty.clear()
self.Error.class_required.clear()
self.Error.too_many_classes.clear()
self.Error.no_class_values.clear()
self.Error.only_one_class_var_value.clear()
if data is not None and not len(data):
self.Error.train_data_empty()
data = None
if data:
conds = [not data.domain.class_vars,
len(data.domain.class_vars) > 1,
np.isnan(data.Y).all(),
data.domain.has_discrete_class and len(data.domain.class_var.values) == 1]
errors = [self.Error.class_required,
self.Error.too_many_classes,
self.Error.no_class_values,
self.Error.only_one_class_var_value]
for cond, error in zip(conds, errors):
if cond:
Expand Down
15 changes: 15 additions & 0 deletions Orange/widgets/evaluate/tests/test_owtestlearners.py
Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,21 @@ def test_one_class_value(self):
self.send_signal("Learner", MajorityLearner(), 0, wait=1000)
self.assertTrue(self.widget.Error.only_one_class_var_value.is_shown())

def test_nan_class(self):
"""
Do not crash on a data with only nan class values.
GH-2751
"""
def assertErrorShown(data, is_shown):
self.send_signal("Data", data)
self.assertEqual(is_shown, self.widget.Error.no_class_values.is_shown())

data = Table("iris")[::30]
data.Y[:] = np.nan

for data, is_shown in zip([None, data, Table("iris")[:30]], [False, True, False]):
assertErrorShown(data, is_shown)

def test_addon_scorers(self):
try:
class NewScore(Score):
Expand Down