8458abed4da68bdc0a6d0f3ca29def2a53530557,Orange/widgets/classify/tests/test_owadaboostclassification.py,TestOWAdaBoostClassification,test_input_learner,#TestOWAdaBoostClassification#,23

Before Change

        self.send_signal("Learner", SklTreeLearner(max_depth=max_depth))
        self.assertEqual(self.widget.base_estimator.params.get("max_depth"),
                         max_depth)
        self.widget.apply_button.button.click()
        output_base_est = self.get_output("Learner").params.get("base_estimator")
        self.assertEqual(output_base_est.max_depth, max_depth)

    def test_input_learner_that_does_not_support_sample_weights(self):

After Change

        // Try a valid learner
        self.send_signal("Learner", RandomForestLearner())
        self.assertIsInstance(
            self.widget.base_estimator, RandomForestLearner,
            "The base estimator was not updated when valid learner on input")

        // Reset to none
        self.send_signal("Learner", None)
        self.assertIsInstance(

Instances