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()