Correlations: Compute correlations with cont class var by default

Author: VesnaT

Orange/widgets/data/owcorrelations.py

@@ -365,7 +365,11 @@ def set_data(self, data):
 
     def set_feature_model(self):
         self.feature_model.set_domain(self.cont_data and self.cont_data.domain)
-        self.feature = None
+        data = self.data
+        if self.cont_data and data.domain.has_continuous_class:
+            self.feature = self.cont_data.domain[data.domain.class_var.name]
+        else:
+            self.feature = None
 
     def apply(self):
         self.vizrank.initialize()

Orange/widgets/data/tests/test_owcorrelations.py

@@ -125,8 +125,13 @@ def test_input_data_cont_target(self):
         self.send_signal(self.widget.Inputs.data, data)
         time.sleep(0.1)
         self.process_events()
-        self.assertEqual(self.widget.vizrank.rank_model.rowCount(), 3)
+        self.assertEqual(self.widget.vizrank.rank_model.rowCount(), 2)
         self.assertEqual(self.widget.controls.feature.count(), 4)
+        self.assertEqual(self.widget.controls.feature.currentText(), "MEDV")
+
+        data = self.housing[:5, 13:]
+        self.send_signal(self.widget.Inputs.data, data)
+        self.assertTrue(self.widget.Warning.not_enough_vars.is_shown())
 
     def test_output_data(self):
         """Check dataset on output"""