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[optimizer] one copy for the optimizer in optimizer_array, use this instead of _set|get_params_transformed

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mzwiessele 2014-05-22 11:39:04 +01:00
parent 43ee8ce614
commit 5a2bc4863b
7 changed files with 158 additions and 79 deletions
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5
GPy/testing/pickle_tests.py
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@ -16,8 +16,7 @@ from GPy.core.parameterization.priors import Gaussian
from GPy.kern._src.rbf import RBF
from GPy.kern._src.linear import Linear
from GPy.kern._src.static import Bias, White
from GPy.examples.dimensionality_reduction import mrd_simulation,\
bgplvm_simulation
from GPy.examples.dimensionality_reduction import mrd_simulation
from GPy.examples.regression import toy_rbf_1d_50
from GPy.core.parameterization.variational import NormalPosterior
from GPy.models.gp_regression import GPRegression
@ -90,6 +89,7 @@ class Test(ListDictTestCase):
self.assertIs(pcopy.constraints, pcopy.rbf.lengthscale.constraints._param_index_ops)
self.assertIs(pcopy.constraints, pcopy.linear.constraints._param_index_ops)
self.assertListEqual(par.param_array.tolist(), pcopy.param_array.tolist())
pcopy.gradient = 10 # gradient does not get copied anymore
self.assertListEqual(par.gradient_full.tolist(), pcopy.gradient_full.tolist())
self.assertSequenceEqual(str(par), str(pcopy))
self.assertIsNot(par.param_array, pcopy.param_array)
@ -151,6 +151,7 @@ class Test(ListDictTestCase):
par = NormalPosterior(X,Xv)
par.gradient = 10
pcopy = par.copy()
pcopy.gradient = 10
self.assertListEqual(par.param_array.tolist(), pcopy.param_array.tolist())
self.assertListEqual(par.gradient_full.tolist(), pcopy.gradient_full.tolist())
self.assertSequenceEqual(str(par), str(pcopy))