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[optimization] model prints how many parameters there are to optimize

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mzwiessele 2015-03-23 08:46:46 +00:00
parent ea5f25900c
commit f771944629
1 changed files with 2 additions and 0 deletions
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GPy/core/model.py
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@ -402,6 +402,7 @@ class Model(Parameterized):
model_details = [['<b>Model</b>', self.name + '<br>'],
['<b>Log-likelihood</b>', '{}<br>'.format(float(self.log_likelihood()))],
["<b>Number of Parameters</b>", '{}<br>'.format(self.size)],
["<b>Number of Optimization Parameters</b>", '{}<br>'.format(self._size_transformed())],
["<b>Updates</b>", '{}<br>'.format(self._update_on)],
]
from operator import itemgetter
@ -419,6 +420,7 @@ class Model(Parameterized):
model_details = [['Name', self.name],
['Log-likelihood', '{}'.format(float(self.log_likelihood()))],
["Number of Parameters", '{}'.format(self.size)],
["Number of Optimization Parameters", '{}'.format(self._size_transformed())],
["Updates", '{}'.format(self._update_on)],
]
from operator import itemgetter