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added print m and print m.all differentiation
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5 changed files with 47 additions and 13 deletions
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@ -397,13 +397,17 @@ class Model(Parameterized):
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return np.nan
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return 0.5 * self._get_params().size * np.log(2 * np.pi) + self.log_likelihood() - hld
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def __str__(self):
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s = Parameterized.__str__(self).split('\n')
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def __str__(self, names=None):
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if names is None:
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names = self._get_print_names()
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s = Parameterized.__str__(self, names=names).split('\n')
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# add priors to the string
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if self.priors is not None:
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strs = [str(p) if p is not None else '' for p in self.priors]
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else:
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strs = [''] * len(self._get_params())
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strs = [''] * len(self._get_param_names())
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name_indices = self.grep_param_names("|".join(names))
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strs = np.array(strs)[name_indices]
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width = np.array(max([len(p) for p in strs] + [5])) + 4
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log_like = self.log_likelihood()
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