From 314176187ddb11fc48cbae1bec2db102c265d6b2 Mon Sep 17 00:00:00 2001
From: Konstantinos Chatzilygeroudis <costashatz@gmail.com>
Date: Mon, 24 Oct 2016 13:28:22 +0200
Subject: [PATCH] Minor tutorial fixes

---
 docs/tutorials/basic_example.rst |  8 ++++----
 docs/tutorials/gp.rst            | 16 ++++++++--------
 docs/tutorials/opt.rst           |  2 +-
 docs/tutorials/statistics.rst    |  6 +++---
 4 files changed, 16 insertions(+), 16 deletions(-)

diff --git a/docs/tutorials/basic_example.rst b/docs/tutorials/basic_example.rst
index 895c36412c..5d29e3e223 100644
--- a/docs/tutorials/basic_example.rst
+++ b/docs/tutorials/basic_example.rst
@@ -41,7 +41,7 @@ To begin, the ``main`` file has to include the necessary files, and declare the
 .. literalinclude:: ../../src/tutorials/basic_example.cpp
    :language: c++
    :linenos:
-   :lines: 47-93
+   :lines: 55-94
 
 
 
@@ -52,7 +52,7 @@ Then, we have to define the evaluation function for the optimizer to call:
 .. literalinclude:: ../../src/tutorials/basic_example.cpp
    :language: c++
    :linenos:
-   :lines: 95-108
+   :lines: 95-109
 
 It is required that the evaluation struct has the static members ``dim_in`` and ``dim_out``, specifying the input and output dimensions.
 Also, it should have the ``operator()`` expecting a ``const Eigen::VectorXd&`` of size ``dim_in``, and return another one, of size ``dim_out``.
@@ -62,7 +62,7 @@ With this, we can declare the main function:
 .. literalinclude:: ../../src/tutorials/basic_example.cpp
    :language: c++
    :linenos:
-   :lines: 109-119
+   :lines: 111-120
 
 
 Finally, from the root of limbo, run a build command, with the additional switch ``--exp myExp``: ::
@@ -76,4 +76,4 @@ Full ``main.cpp``:
 .. literalinclude:: ../../src/tutorials/basic_example.cpp
    :language: c++
    :linenos:
-   :lines: 46-
+   :lines: 48-
diff --git a/docs/tutorials/gp.rst b/docs/tutorials/gp.rst
index 223e2b2765..545e658af4 100644
--- a/docs/tutorials/gp.rst
+++ b/docs/tutorials/gp.rst
@@ -13,7 +13,7 @@ We assume that our samples are in a vector called ``samples`` and that our obser
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 75-84
+   :lines: 75-85
 
 Basic usage
 ------------
@@ -23,14 +23,14 @@ We first create a basic GP with an Exponential kernel (``kernel::Exp<Params>``)
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 58-62
+   :lines: 60-63
 
 The type of the GP is defined by the following lines:
 
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 87-89
+   :lines: 87-90
 
 To use the GP, we need :
 
@@ -40,7 +40,7 @@ To use the GP, we need :
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 91-98
+   :lines: 92-99
 
 Here we assume that the noise is the same for all samples and that it is equal to 0.01.
 
@@ -57,7 +57,7 @@ To visualize the predictions of the GP, we can query it for many points and reco
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 101-111
+   :lines: 101-112
 
 
 Hyper-parameter optimization
@@ -71,21 +71,21 @@ A new GP type is defined as follows:
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 115-117
+   :lines: 116-118
 
 It uses the default values for the parameters of ``SquaredExpARD``:
 
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 63-64
+   :lines: 64-65
 
 After calling the ``compute()`` method, the hyper-parameters can be optimized by calling the ``optimize_hyperparams()`` function. The GP does not need to be recomputed and we pass ``false`` for the last parameter in ``compute()`` as we do not need to compute the kernel matrix again (it will be recomputed in the hyper-parameters optimization).
 
 .. literalinclude:: ../../src/tutorials/gp.cpp
    :language: c++
    :linenos:
-   :lines: 121-122
+   :lines: 122-123
 
 
 We can have a look at the difference between the two GPs:
diff --git a/docs/tutorials/opt.rst b/docs/tutorials/opt.rst
index 3a36d44f16..4c53f55634 100644
--- a/docs/tutorials/opt.rst
+++ b/docs/tutorials/opt.rst
@@ -70,4 +70,4 @@ Here is the full file.
 .. literalinclude:: ../../src/tutorials/opt.cpp
    :language: c++
    :linenos:
-   :lines: 45-
+   :lines: 46-
diff --git a/docs/tutorials/statistics.rst b/docs/tutorials/statistics.rst
index a268592b52..f1d8203651 100644
--- a/docs/tutorials/statistics.rst
+++ b/docs/tutorials/statistics.rst
@@ -66,18 +66,18 @@ In order to configure the Bayesian optimizer to use our new statistics class, we
 .. literalinclude:: ../../src/tutorials/statistics.cpp
    :language: c++
    :linenos:
-   :lines: 144-147
+   :lines: 144-148
 
 Then, we use it to define the optimizer:
 
 .. literalinclude:: ../../src/tutorials/statistics.cpp
    :language: c++
    :linenos:
-   :lines: 150
+   :lines: 151
 
 The full source code is available in `src/tutorials/statistics.cpp` and reproduced here:
 
 .. literalinclude:: ../../src/tutorials/statistics.cpp
    :language: c++
    :linenos:
-   :lines: 46-
+   :lines: 48-