def test_make_bootstrap_models_raises_on_no_model(self):
with self.assertRaises(ValueError):
bs.make_bootstrap_models(2,
self.ds,
'parametric',
self.fiducials,
self.fiducials,
self.germs,
self.maxLengths,
returnData=False)
def test_make_bootstrap_models_raises_on_conflicting_model_input(self):
with self.assertRaises(ValueError):
bs.make_bootstrap_models(2,
self.ds,
'parametric',
self.fiducials,
self.fiducials,
self.germs,
self.maxLengths,
inputModel=self.mdl,
targetModel=self.mdl,
returnData=False)
def test_make_bootstrap_models_nonparametric(self):
# TODO optimize
bootgs_np, bootds_np2 = bs.make_bootstrap_models(2,
self.ds,
'nonparametric',
self.fiducials,
self.fiducials,
self.germs,
self.maxLengths,
targetModel=self.mdl,
returnData=True)
def test_make_bootstrap_models_parametric(self):
# TODO optimize
bootgs_p = bs.make_bootstrap_models(2,
self.ds,
'parametric',
self.fiducials,
self.fiducials,
self.germs,
self.maxLengths,
inputModel=self.mdl,
returnData=False)
def setUpClass(cls):
super(BootstrapUtilityTester, cls).setUpClass()
maxLengths = [0]
cls.bootgs_p = bs.make_bootstrap_models(2,
cls.ds,
'parametric',
cls.fiducials,
cls.fiducials,
cls.germs,
maxLengths,
inputModel=cls.mdl,
returnData=False)
def test_make_bootstrap_models_with_list(self):
# TODO optimize
custom_strs = pc.make_lsgst_lists(self.mdl, self.fiducials,
self.fiducials, self.germs, [1])
bootgs_p_custom = bs.make_bootstrap_models(2,
self.ds,
'parametric',
None,
None,
None,
None,
lsgstLists=custom_strs,
inputModel=self.mdl,
returnData=False)