Reorganised examples

Author: perellonieto

docs/source/index.rst

@@ -31,4 +31,3 @@ Indices and tables
 
 * :ref:`genindex`
 * :ref:`modindex`
-* :ref:`search`

docs/source/usage/quickstart.rst

@@ -5,6 +5,10 @@
 Quickstart
 ==========
 
+This is a simple description of how to calibrate a classifier using this
+library. For an extended example check the Section Examples
+:ref:`sphx_glr_examples_xmpl_quickstart.py`.
+
 The simplest way to calibrate an existing probabilistic classifier is the
 following:
 
@@ -33,4 +37,3 @@ Now you can train both classifier and calibrator all together.
     dataset = load_iris()
     cal_clf.fit(dataset.data, dataset.target)
 
-For a full example check the Section Examples quick start.

examples/visualisations/README.txt

@@ -83,8 +83,6 @@
                                show_gaps=True, show_bars=True,
                                show_histogram=True)
 
-fig.tight_layout()
-fig.savefig('pycalib_rd_bars.svg')
 
 ##############################################################################
 # However, both previous illustrations do not include the number of samples
@@ -153,8 +151,6 @@
                                errorbar_interval=0.95,
                                interval_method='beta')
 
-fig.tight_layout()
-fig.savefig('pycalib_rd_lines.svg')
 
 ##############################################################################
 # It is possible to draw reliability diagram for multiple classes as well. We
@@ -194,8 +190,6 @@
                                show_bars=True,
                                show_gaps=True)
 
-fig.tight_layout()
-fig.savefig('pycalib_rd_ternary.svg')
 
 ##############################################################################
 # And change the colors.