def test_parameters_unchecked(self): """Check learner and model for various values of all parameters when properties are not checked """ self.widget.min_samples_split_spin[0].setCheckState(False) self.parameters = self.parameters[:1] self.parameters.extend([ DefaultParameterMapping("max_features", "auto"), DefaultParameterMapping("random_state", None), DefaultParameterMapping("max_depth", None), DefaultParameterMapping("min_samples_split", 2), ]) self.test_parameters()
def test_parameters_unchecked(self): """Check learner and model for various values of all parameters when Iteration limit is not checked """ self.widget.max_iter_spin[0].setCheckState(False) self.parameters[-1] = DefaultParameterMapping("max_iter", -1) self.test_parameters()
def test_parameters_unchecked(self): """Check learner and model for various values of all parameters when pruning parameters are not checked """ for cb in self.checks: cb.setCheckState(False) self.parameters = [DefaultParameterMapping(par.name, val) for par, val in zip(self.parameters, (None, 2, 1))] self.test_parameters()
def test_parameters_unchecked(self): """Check learner and model for various values of all parameters when pruning parameters are not checked """ self.widget.max_depth_spin[0].setCheckState(False) self.widget.min_internal_spin[0].setCheckState(False) self.widget.min_leaf_spin[0].setCheckState(False) for i, val in ((1, None), (2, 2), (3, 1)): self.parameters[i] = DefaultParameterMapping( self.parameters[i].name, val) self.test_parameters()