diff --git a/changelog0.6 b/changelog0.6 index a3cf107b..81e94ab3 100644 --- a/changelog0.6 +++ b/changelog0.6 @@ -1,28 +1,42 @@ # GPy 0.6 Changelog -GPy 0.6 brings a host of changes. At the core of GPy is a new framewrok for handling parameteterised models, which gives much improved performace for many case. The kernels have changed both in their internal structure and their interface. We have added tutorials and improved docstrings (and thus sphinx compiled documentation) everywhere. +GPy 0.6 brings a host of changes. At the core of GPy is a new framewrok for +handling parameteterised models, which gives much improved performace for many +case. The kernels have changed both in their internal structure and their +interface. We have added tutorials and improved docstrings (and thus sphinx +compiled documentation) everywhere. ## kernel changes -The kernels now follow the pep8 guidelines and use CamelCase for class names. this means that - GPy.kern.linear(args) -is now replaced with - GPy.kern.Linear(args) -This does mean small changes to some users code. Apologies for the inconvenience. +The kernels now follow the pep8 guidelines and use CamelCase for class names. +this means that GPy.kern.linear(args) is now replaced with +GPy.kern.Linear(args) This does mean small changes to some users code. +Apologies for the inconvenience. -The kernels can now (optionally) accept `active_dims`, an iterable which describs which dimensions of the input the kernel should work on. This makes constructing kernels which are products over different space (tensor product kernels) much easier to implement. +The kernels can now (optionally) accept `active_dims`, an iterable which +describs which dimensions of the input the kernel should work on. This makes +constructing kernels which are products over different space (tensor product +kernels) much easier to implement. -The kernels include a base class called `Stationary`. Many kernels (Matern, RBF, Exponential) inherrit from this, saving lots of code. Implementing new Stationary kernels is straightforward. +The kernels include a base class called `Stationary`. Many kernels (Matern, +RBF, Exponential) inherrit from this, saving lots of code. Implementing new +Stationary kernels is straightforward. ## Likelihood changes -The stucture of GPy has changed co that we can have a more 'plug-n-play', modular codebase. There's now a base `Likelihood` class which skeletons the implementation for many liklihoods, allowing flexible modelling. For example, GPclassificatino with different approximations is now straightforward with the implementation of the Bernouilli class. +The stucture of GPy has changed co that we can have a more 'plug-n-play', +modular codebase. There's now a base `Likelihood` class which skeletons the +implementation for many liklihoods, allowing flexible modelling. For example, +GPclassificatino with different approximations is now straightforward with the +implementation of the Bernouilli class. ## parameterized changes ## Documentation changes -We have focussed efforts on documentation on providing IPython notebooks containing examples. See http://nbviewer.ipython.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb +We have focussed efforts on documentation on providing IPython notebooks +containing examples. See +http://nbviewer.ipython.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb diff --git a/index.html b/index.html index 5677b1ab..8298d48a 100644 --- a/index.html +++ b/index.html @@ -39,7 +39,7 @@

GPy is available under the BSD 3-clause license. We'd love to incorporate your changes, so fork us on github!

New release!

-

After a long series of changes, we're pleased to announce the GPy 0.6 is ready for use. Users can download the code from github or install with pip.

. There are lots of changes, we've tried to highlight important ones in the < href=./changelog0.6>changelog. +

After a long series of changes, we're pleased to announce the GPy 0.6 is ready for use. Users can download the code from github or install with pip.

. There are lots of changes, we've tried to highlight important ones in the changelog.

Installation

Installation instructions along side the source code can be found on the GPy project github page. The instructions vary slightly with the target OS but essentially revolve around installing from the python package index, PyPI