Installation

The easiest way to install the latest release version of bayesloop is via pip:

pip install bayesloop

Alternatively, a zipped version can be downloaded here. The module is installed by calling python setup.py install.

Development version

The latest development version of bayesloop can be installed from the master branch using pip (requires git):

pip install git+https://github.com/christophmark/bayesloop

Alternatively, use this zipped version or clone the repository.

Dependencies

bayesloop is tested on both Python 2.7 and Python 3.6. It depends on NumPy, SciPy, SymPy, matplotlib, tqdm and dill. All except the last two are already included in the Anaconda distribution of Python. Windows users may also take advantage of pre-compiled binaries for all dependencies, which can be found at Christoph Gohlke’s page.

Optional dependencies

bayesloop supports multiprocessing for computationally expensive analyses, based on the pathos module. The latest version can be obtained directly from GitHub using pip (requires git):

pip install git+https://github.com/uqfoundation/pathos

Note

Windows users need to install a C compiler before installing pathos. One possible solution for 64bit systems is to install Microsoft Visual C++ 2008 SP1 Redistributable Package (x64) and Microsoft Visual C++ Compiler for Python 2.7.