Merge pull request #557 from SheffieldML/devel

Paramz 0.8 update

GPy/__init__.py

@@ -18,7 +18,7 @@ from .util import normalizer
 
 # backwards compatibility
 import sys
-backwards_compatibility = ['lists_and_dicts', 'observable_array', 'ties_and_remappings', 'index_operations']
+backwards_compatibility = ['lists_and_dicts', 'observable_array', 'index_operations']
 for bc in backwards_compatibility:
     sys.modules['GPy.core.parameterization.{!s}'.format(bc)] = getattr(core.parameterization, bc)
 

GPy/__version__.py

@@ -1 +1 @@
-__version__ = "1.8.0"
+__version__ = "1.8.1"

GPy/core/parameterization/__init__.py

@@ -6,4 +6,4 @@ from .parameterized import Parameterized
 from . import transformations
 
 from paramz.core import lists_and_dicts, index_operations, observable_array, observable
-from paramz import ties_and_remappings, ObsAr
+from paramz import ObsAr

appveyor.yml

@@ -3,7 +3,7 @@ environment:
     secure: 8/ZjXFwtd1S7ixd7PJOpptupKKEDhm2da/q3unabJ00=
   COVERALLS_REPO_TOKEN:
     secure: d3Luic/ESkGaWnZrvWZTKrzO+xaVwJWaRCEP0F+K/9DQGPSRZsJ/Du5g3s4XF+tS
-  gpy_version: 1.8.0
+  gpy_version: 1.8.1
   matrix:
     - PYTHON_VERSION: 2.7
       MINICONDA: C:\Miniconda-x64

doc/source/tuto_creating_new_kernels.rst

@@ -41,8 +41,8 @@ For all Kerns the first parameter ``input_dim`` corresponds to the
 dimension of the input space, and the following parameters stand for
 the parameterization of the kernel.
 
-You have to call ``super(<class_name>, self).__init__(input_dim,
-name)`` to make sure the input dimension and name of the kernel are
+You have to call ``super(<class_name>, self).__init__(input_dim, active_dims, 
+name)`` to make sure the input dimension (and possible dimension restrictions using active_dims) and name of the kernel are
 stored in the right place. These attributes are available as
 ``self.input_dim`` and ``self.name`` at runtime.  Parameterization is
 done by adding :py:class:`~GPy.core.parameterization.param.Param`
@@ -53,8 +53,8 @@ your code. The parameters have to be added by calling
 :py:class:`~GPy.core.parameterization.param.Param` objects as
 arguments::
 
-    def __init__(self,input_dim,variance=1.,lengthscale=1.,power=1.):
-        super(RationalQuadratic, self).__init__(input_dim, 'rat_quad')
+    def __init__(self,input_dim,variance=1.,lengthscale=1.,power=1.,active_dims=None):
+        super(RationalQuadratic, self).__init__(input_dim, active_dims, 'rat_quad')
 	assert input_dim == 1, "For this kernel we assume input_dim=1"
         self.variance = Param('variance', variance)
         self.lengthscale = Param('lengtscale', lengthscale)

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.8.0
+current_version = 1.8.1
 tag = True
 commit = True
 

setup.py

@@ -150,7 +150,7 @@ setup(name = 'GPy',
       py_modules = ['GPy.__init__'],
       test_suite = 'GPy.testing',
       setup_requires = ['numpy>=1.7'],
-      install_requires = ['numpy>=1.7', 'scipy>=0.16', 'six', 'paramz>=0.7.4'],
+      install_requires = ['numpy>=1.7', 'scipy>=0.16', 'six', 'paramz>=0.8.3'],
       extras_require = {'docs':['sphinx'],
                         'optional':['mpi4py',
                                     'ipython>=4.0.0',