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minor changes to the apsre regression demo

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James Hensman 2013-01-18 18:05:14 +00:00
parent 0fb8ab91bb
commit eb3061a9f0
1 changed files with 1 additions and 9 deletions
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10
GPy/examples/sparse_GP_regression_demo.py
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@ -11,7 +11,7 @@ import numpy as np
import GPy
np.random.seed(2)
pb.ion()
N = 1200
N = 400
M = 5
######################################
@ -29,19 +29,11 @@ kernel = rbf + noise
# create simple GP model
m = GPy.models.sparse_GP_regression(X, Y, kernel, M=M)
# contrain all parameters to be positive
m.constrain_positive('(variance|lengthscale|precision)')
#m.constrain_positive('(variance|lengthscale)')
#m.constrain_fixed('prec',10.)
#check gradient FIXME unit test please
m.checkgrad(verbose=1)
stop
# optimize and plot
m.optimize('tnc', messages = 1)
m.plot()
# print(m)
######################################
## 2 dimensional example