apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-01 07:46:22 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Added test generator (not quite finished yet)

Browse source
This commit is contained in:
Alan Saul 2013-03-11 17:05:18 +00:00
parent 9b4cb78fdb
commit c39af496a6
3 changed files with 58 additions and 26 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/examples/regression.py
View file

@ -194,7 +194,7 @@ def multiple_optima(gene_number=937,resolution=80, model_restarts=10, seed=10000
# Remove the mean (no bias kernel to ensure signal/noise is in RBF/white)
data['Y'] = data['Y'] - np.mean(data['Y'])
lls = GPy.examples.regression.contour_data(data, length_scales, log_SNRs, GPy.kern.rbf)
lls = GPy.examples.regression._contour_data(data, length_scales, log_SNRs, GPy.kern.rbf)
pb.contour(length_scales, log_SNRs, np.exp(lls), 20)
ax = pb.gca()
pb.xlabel('length scale')
@ -229,7 +229,7 @@ def multiple_optima(gene_number=937,resolution=80, model_restarts=10, seed=10000
ax.set_ylim(ylim)
return (models, lls)
def contour_data(data, length_scales, log_SNRs, signal_kernel_call=GPy.kern.rbf):
def _contour_data(data, length_scales, log_SNRs, signal_kernel_call=GPy.kern.rbf):
"""Evaluate the GP objective function for a given data set for a range of signal to noise ratios and a range of lengthscales.
:data_set: A data set from the utils.datasets director.