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fix minor inconsistent notation in bayesopt tutorial (#164)
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docs/tutorials/bayesopt.rst

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@@ -35,8 +35,8 @@ computationally expensive. I think that the classic reference is `Jones
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et al. (1998) <https://doi.org/10.1023/A:1008306431147>`__ and the
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example here will look a bit like their section 4.1.
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First, we'll define the scalar objective that we want to minimize in the
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range :math:`-5 \le x \le 5`.
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First, we'll define the scalar objective, parametrized by :math:`\theta`,
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that we want to minimize in the range :math:`-5 \le \theta \le 5`.
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.. code:: python
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@@ -64,7 +64,7 @@ Now, for the "Bayesian" optimization, the basic procedure that we'll
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follow is:
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1. Start by evaluating the model at a set of points. In this case, we'll
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start with a uniform grid in :math:`x`.
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start with a uniform grid in :math:`\theta`.
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2. Fit a GP (optimize the hyperparameters) to the set of training
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points.
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3. Find the input coordinate that maximizes the "expected improvement"

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