These are experimental Python bindings to the DNest4 sampler allowing the user
to implement their models in Python. See the example(s) in ``examples`` for
some demos for how you might do this.
Building
--------
DNest4 relies on recent C++11 features so building with python can be fun. On
a Mac, you might need to do something like:
.. code-block:: bash
MACOSX_DEPLOYMENT_TARGET=10.9 python setup.py install
If you only want the postprocessing scripts and don't want to worry about
building the bindings, you can run:
.. code-block:: bash
python setup.py install --without-cext
and then use it as follows:
.. code-block::
import dnest
# NOTE: the path will default to the current working directory if you
# don't give another path.
dnest.postprocess("/path/to/where/you/ran/your/model")
Author
------
These bindings were written by `Dan Foreman-Mackey <https://github.com/dfm>`_
and they are licensed as part of DNest4 with the MIT license.
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