PyDIAMONDS was created to provide python bindings for the bayesian inference software DIAMONDS. It provides an easy way to access the fast underlying C++ code in python. For a deeper documentation visit https://github.com/EnricoCorsaro/DIAMONDS, where you can find the C++ code.
Installation
PyDIAMONDS is provided through pypi. Simply call:
pip install pyDiamonds
to install the package. Be sure to have a full cmake toolchain as well as clang/gcc on your machine to build the code.
Documentation
The documentation of the classes available to python will be more and more implemented over time. See the docs folder for documentation. For a more exhaustive documentation visit https://github.com/EnricoCorsaro/DIAMONDS where you can find a more exhaustive documentation on DIAMONDS. Various examples can also be found in the examples folder.
1 maintainer
Metadata
1 maintainer
Release files for pyDiamonds 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyDiamonds-1.1.0-cp36-cp36m-macosx_10_13_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.13+ x86-64 | Details |
Release files / pyDiamonds-1.1.0-cp36-cp36m-macosx_10_13_x86_64.whl
| Download URL | pyDiamonds-1.1.0-cp36-cp36m-macosx_10_13_x86_64.whl |
|---|---|
| Size | 657.2 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.13+ x86-64 |
|
SHA-256 checksum How to use checksums |
f3757df1c09566be9e9de958a6473c14e7023ec48871a63b90e2a144cea57531
|
|
BLAKE2b-256 checksum How to use checksums |
ab28a4ae8ccd063c27e67a59509740dd25e38ff5b793382fcfe3584c1cda7a3b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5
|
