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example multiple optima now returns a model

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Nicolas 2013-06-05 17:44:55 +01:00
parent 3231e94947
commit dc26ea0dad
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GPy/examples/regression.py
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@ -231,7 +231,7 @@ def multiple_optima(gene_number=937,resolution=80, model_restarts=10, seed=10000
ax.set_xlim(xlim) ax.set_xlim(xlim)
ax.set_ylim(ylim) ax.set_ylim(ylim)
return (models, lls) return m #(models, lls)
def _contour_data(data, length_scales, log_SNRs, kernel_call=GPy.kern.rbf): def _contour_data(data, length_scales, log_SNRs, 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. """Evaluate the GP objective function for a given data set for a range of signal to noise ratios and a range of lengthscales.