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_highest_parent_ now follows the tree, dK_dX > gradient_X, added update_grads_variational to linear, bgplvm for new framework

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Max Zwiessele 2014-02-10 15:12:49 +00:00
parent 87dab55fe1
commit e0c68d5eb3
41 changed files with 269 additions and 291 deletions
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13
GPy/core/model.py
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@ -439,18 +439,19 @@ class Model(Parameterized):
print "No free parameters to check"
return
gradient = self.objective_function_gradients(x)
np.where(gradient==0, 1e-312, gradient)
for i in param_list:
xx = x.copy()
xx[i] += step
f1, g1 = self.objective_and_gradients(xx)
xx[i] -= 2.*step
f2, g2 = self.objective_and_gradients(xx)
gradient = self.objective_function_gradients(x)[i]
numerical_gradient = (f1 - f2) / (2 * step)
ratio = (f1 - f2) / (2 * step * np.where(gradient==0, 1e-312, gradient))
difference = np.abs((f1 - f2) / 2 / step - gradient)
ratio = (f1 - f2) / (2 * step * gradient[i])
difference = np.abs((f1 - f2) / 2 / step - gradient[i])
if (np.abs(1. - ratio) < tolerance) or np.abs(difference) < tolerance:
formatted_name = "\033[92m {0} \033[0m".format(names[i])
@ -458,7 +459,7 @@ class Model(Parameterized):
formatted_name = "\033[91m {0} \033[0m".format(names[i])
r = '%.6f' % float(ratio)
d = '%.6f' % float(difference)
g = '%.6f' % gradient
g = '%.6f' % gradient[i]
ng = '%.6f' % float(numerical_gradient)
grad_string = "{0:<{c0}}|{1:^{c1}}|{2:^{c2}}|{3:^{c3}}|{4:^{c4}}".format(formatted_name, r, d, g, ng, c0=cols[0] + 9, c1=cols[1], c2=cols[2], c3=cols[3], c4=cols[4])
print grad_string