def test_constraints_testmodel(self):
self.testmodel['.*rbf'].constrain_negative()
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [0, 1])
self.testmodel['.*lengthscale'].constrain_bounded(0, 1)
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [1])
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[0])
self.testmodel[''].unconstrain_negative()
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [])
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[0])
self.testmodel['.*lengthscale'].unconstrain_bounded(0, 1)
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[])
def test_constraints_set_direct(self):
self.testmodel['.*rbf'].constrain_negative()
self.testmodel['.*lengthscale'].constrain_bounded(0, 1)
self.testmodel['.*variance'].fix()
self.assertListEqual(
self.testmodel.constraints[transformations.__fixed__].tolist(),
[1, 2])
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[0])
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [1])
cache_constraints = self.testmodel.constraints.copy()
self.testmodel.unconstrain()
self.testmodel.likelihood.fix()
self.assertListEqual(self.testmodel._fixes_.tolist(), [
transformations.UNFIXED, transformations.UNFIXED,
transformations.FIXED
])
self.assertListEqual(
self.testmodel.constraints[transformations.__fixed__].tolist(),
[2])
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[])
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [])
self.testmodel.constraints = cache_constraints
self.assertListEqual(
self.testmodel.constraints[transformations.__fixed__].tolist(),
[1, 2])
self.assertListEqual(
self.testmodel.constraints[transformations.Logistic(0,
1)].tolist(),
[0])
self.assertListEqual(
self.testmodel.constraints[
transformations.NegativeLogexp()].tolist(), [1])
self.assertListEqual(self.testmodel._fixes_.tolist(), [
transformations.UNFIXED, transformations.FIXED,
transformations.FIXED
])
self.assertIs(self.testmodel.constraints,
self.testmodel.likelihood.constraints._param_index_ops)
self.assertIs(self.testmodel.constraints,
self.testmodel.kern.constraints._param_index_ops)
def test_add_parameter_in_hierarchy(self):
self.test1.kern.rbf.link_parameter(
Param("NEW", np.random.rand(2), transformations.NegativeLogexp()),
1)
self.assertListEqual(
self.test1.constraints[transformations.NegativeLogexp()].tolist(),
list(range(self.param.size + 1, self.param.size + 1 + 2)))
self.assertListEqual(
self.test1.constraints[transformations.Logistic(0, 1)].tolist(),
list(range(self.param.size)))
self.assertListEqual(
self.test1.constraints[transformations.Logexp(0, 1)].tolist(),
np.r_[50, 53:55].tolist())