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pretty-printing of objective function

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Nicolò Fusi 2013-02-20 10:03:54 +00:00
parent 12e895f8a7
commit 27420d455e
1 changed files with 7 additions and 2 deletions
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9
GPy/core/model.py
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@ -294,8 +294,13 @@ class model(parameterised):
strs = [str(p) if p is not None else '' for p in self.priors] strs = [str(p) if p is not None else '' for p in self.priors]
width = np.array(max([len(p) for p in strs] + [5])) + 4 width = np.array(max([len(p) for p in strs] + [5])) + 4
MLL = self.log_likelihood() + self.log_prior() log_like = self.log_likelihood()
s[0] = 'Marginal log-likelihood: {0:.3e}\n'.format(MLL) + s[0] log_prior = self.log_prior()
obj_funct = '\nLog-likelihood: {0:.3e}'.format(log_like)
if len(''.join(strs)) != 0:
obj_funct += ', Log prior: {0:.3e}, LL+prior = {0:.3e}'.format(log_prior, log_like + log_prior)
obj_funct += '\n\n'
s[0] = obj_funct + s[0]
s[0] += "|{h:^{col}}".format(h = 'Prior', col = width) s[0] += "|{h:^{col}}".format(h = 'Prior', col = width)
s[1] += '-'*(width + 1) s[1] += '-'*(width + 1)