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adjusted parameters to report their changes

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Max Zwiessele 2013-11-03 13:58:15 +00:00
parent 067206e83e
commit 6feb5dd2f1
10 changed files with 84 additions and 57 deletions
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9
GPy/examples/regression.py
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@ -378,7 +378,7 @@ def silhouette(max_iters=100):
print(m)
return m
def sparse_GP_regression_1D(num_samples=400, num_inducing=5, max_iters=100):
def sparse_GP_regression_1D(num_samples=400, num_inducing=5, max_iters=100, optimize=True, checkgrad=True):
"""Run a 1D example of a sparse GP regression."""
# sample inputs and outputs
X = np.random.uniform(-3., 3., (num_samples, 1))
@ -388,9 +388,10 @@ def sparse_GP_regression_1D(num_samples=400, num_inducing=5, max_iters=100):
# create simple GP Model
m = GPy.models.SparseGPRegression(X, Y, kernel=rbf, num_inducing=num_inducing)
m.checkgrad(verbose=1)
m.optimize('tnc', messages=1, max_iters=max_iters)
if checkgrad:
m.checkgrad(verbose=1)
if optimize:
m.optimize('tnc', messages=1, max_iters=max_iters)
m.plot()
return m