Installation¶
Though megaman
has a fair number of compiled dependencies, it is
straightforward to install using the cross-platform conda package manager.
Installation with Conda¶
To install megaman
and all its dependencies using conda, run:
$ conda install --channel=jakevdp megaman
Currently builds are available for OSX-64 and Linux-64, on Python 2.7, 3.4, and 3.5. For other operating systems, see the full install instructions below.
Installation from Source¶
To install megaman
from source requires the following:
- python: tested with versions 2.7, 3.4, and 3.5
- numpy: version 1.8 or higher
- scipy: version 0.16.0 or higher
- scikit-learn: version 0.16.0 or higher
- FLANN: version 1.8 or higher
- cython_: version 0.23 or higher
- a C++ compiler such as
gcc
/g++
(we recommend version 4.8.*)
Optional requirements include:
- pyamg, which provides fast decompositions of large sparse matrices
- pyflann, which offers an alternative FLANN interface for computing distance matrices (this is bundled with the FLANN source code)
- nose for running the unit tests
These requirements can be installed on Linux and MacOSX using the following conda command:
$ conda install --channel=jakevdp pip nose coverage gcc cython numpy scipy scikit-learn pyflann pyamg
Finally, within the source repository, run this command to install the megaman
package itself:
$ python setup.py install