From 93ca35b3197b94fb1c7c3de66819a5924f8ba88a Mon Sep 17 00:00:00 2001 From: Max Zwiessele Date: Thu, 16 Oct 2014 12:43:15 +0100 Subject: [PATCH] [whitespaces] --- GPy/core/model.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/GPy/core/model.py b/GPy/core/model.py index dc0a9f5e..e4748529 100644 --- a/GPy/core/model.py +++ b/GPy/core/model.py @@ -213,7 +213,7 @@ class Model(Parameterized): def optimize(self, optimizer=None, start=None, **kwargs): """ Optimize the model using self.log_likelihood and self.log_likelihood_gradient, as well as self.priors. - + kwargs are passed to the optimizer. They can be: :param max_f_eval: maximum number of function evaluations @@ -231,7 +231,7 @@ class Model(Parameterized): - 'lbfgsb': the l-bfgs-b method (see scipy.optimize.fmin_l_bfgs_b), - 'sgd': stochastic gradient decsent (see scipy.optimize.sgd). For experts only! - + """ if self.is_fixed: raise RuntimeError, "Cannot optimize, when everything is fixed" @@ -300,7 +300,7 @@ class Model(Parameterized): # just check the global ratio dx = np.zeros(x.shape) dx[transformed_index] = step * (np.sign(np.random.uniform(-1, 1, transformed_index.size)) if transformed_index.size != 2 else 1.) - + # evaulate around the point x f1 = self._objective(x + dx) f2 = self._objective(x - dx)