apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-04-28 14:26:23 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Trying to get plotting working

Browse source
This commit is contained in:
Alan Saul 2013-02-08 18:11:59 +00:00
parent a647e41c84
commit ee22b77fe9
2 changed files with 12 additions and 11 deletions
Download patch file Download diff file Expand all files Collapse all files

8
doc/conf.py
View file

@ -90,9 +90,11 @@ extensions = ['sphinx.ext.autodoc',
'ipython_directive',
'ipython_console_highlighting',
#'mathmpl',
'only_directives',
'plot_directive',
#'only_directives',
'matplotlib.sphinxext.plot_directive'
#'plot_directive'
]
plot_formats = [('png', 80), ('pdf', 50)]
print "finished importing"
@ -122,7 +124,7 @@ class Mock(object):
#import mock
print "Mocking"
MOCK_MODULES = ['pylab', 'matplotlib', 'sympy', 'sympy.utilities', 'sympy.utilities.codegen', 'sympy.core.cache', 'sympy.core', 'sympy.parsing', 'sympy.parsing.sympy_parser']
MOCK_MODULES = ['pylab', 'sympy', 'sympy.utilities', 'sympy.utilities.codegen', 'sympy.core.cache', 'sympy.core', 'sympy.parsing', 'sympy.parsing.sympy_parser']
#'matplotlib', 'matplotlib.color', 'matplotlib.pyplot', 'pylab' ]
for mod_name in MOCK_MODULES:
sys.modules[mod_name] = Mock()

15
doc/tuto_GP_regression.rst
View file

@ -9,14 +9,13 @@ Gaussian process regression tutorial
.. plot::
import matplotlib.pyplot as plt
import numpy as np
x = np.random.randn(1000)
plt.hist( x, 20)
plt.grid()
plt.title(r'Normal: $\mu=%.2f, \sigma=%.2f$'%(x.mean(), x.std()))
plt.show()
import matplotlib.pyplot as plt
import numpy as np
x = np.random.randn(1000)
plt.hist( x, 20)
plt.grid()
plt.title(r'Normal: $\mu=%.2f, \sigma=%.2f$'%(x.mean(), x.std()))
plt.show()
We will see in this tutorial the basics for building a 1 dimensional and a 2 dimensional Gaussian process regression model, also known as a kriging model.