C++ part of the Biogeme package

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

CythonBiogeme

Biogeme is an open source freeware designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models. CythonBiogeme is the part of the package that involves C++ code, to be installed separately.

Install

Biogeme requires Python >= 3.8 and can be installed from PyPI.

pip install cythonbiogeme

Installing CythonBiogeme from source can be done after cloning the repository with the following command executed in the directory where the file setup.pyis located:

pip install -ve .

Documentation

Further documentation is available on https://biogeme.epfl.ch/

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

1.0.2

Dec 21, 2023

1.0.2a0 pre-release

Sep 27, 2023

1.0.1

Apr 18, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cythonbiogeme-1.0.2.tar.gz (6.6 MB view hashes)

Uploaded Jan 18, 2024 Source

Built Distributions

cythonbiogeme-1.0.2-cp312-cp312-win_amd64.whl (598.5 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.12 Windows x86-64

cythonbiogeme-1.0.2-cp312-cp312-macosx_10_9_universal2.whl (606.1 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

cythonbiogeme-1.0.2-cp311-cp311-win_amd64.whl (592.7 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.11 Windows x86-64

cythonbiogeme-1.0.2-cp311-cp311-macosx_10_9_universal2.whl (603.5 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

cythonbiogeme-1.0.2-cp310-cp310-win_amd64.whl (598.1 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.10 Windows x86-64

cythonbiogeme-1.0.2-cp310-cp310-macosx_10_9_universal2.whl (602.3 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

cythonbiogeme-1.0.2-cp39-cp39-win_amd64.whl (598.5 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.9 Windows x86-64

cythonbiogeme-1.0.2-cp39-cp39-macosx_10_9_universal2.whl (603.3 kB view hashes)

Uploaded Dec 21, 2023 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

Hashes for cythonbiogeme-1.0.2.tar.gz

Hashes for cythonbiogeme-1.0.2.tar.gz
Algorithm	Hash digest
SHA256	`f139342944c849b47ce5aaa548e68aa179c195de93ab76be78353f4309684d0e`
MD5	`ef1347967d23b9e40c51274ad5ecd5bc`
BLAKE2b-256	`a8716cfff3b58145320bebf8f4e27cf8746c3f79a555226021280b4907c9f309`

Hashes for cythonbiogeme-1.0.2-cp312-cp312-win_amd64.whl

Hashes for cythonbiogeme-1.0.2-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`68cd36bf0c3e921b1c842fe445722aa9a771630d64e7c50d806bb8f899755d76`
MD5	`da25da553c04059b698ce17c57d39a03`
BLAKE2b-256	`aaf5331dd4b7fac3d921c7918f456d92f9dd60d18aef483fde4c01948eaf370e`

Hashes for cythonbiogeme-1.0.2-cp312-cp312-macosx_10_9_universal2.whl

Hashes for cythonbiogeme-1.0.2-cp312-cp312-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`40801f1b14b17b0c434b8eda9314abfd8364d36da647051211d64ec5dcb5f683`
MD5	`ddf024035dac386374c69b590617f2a8`
BLAKE2b-256	`491117e2ebc05ca3292962131143e6dce45075d19896070bef39d35b404d1663`

Hashes for cythonbiogeme-1.0.2-cp311-cp311-win_amd64.whl

Hashes for cythonbiogeme-1.0.2-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`4f88c59593c7f1cfe4b2ac0b27bd3cb936514b06bbe3920d185dfd66e6a97d3b`
MD5	`079eae935c6e1cb6d2218b8086d8e586`
BLAKE2b-256	`924215d0c68eca170d555ee46e586cf6614649c88a68d39fbd8fb275280fe178`

Hashes for cythonbiogeme-1.0.2-cp311-cp311-macosx_10_9_universal2.whl

Hashes for cythonbiogeme-1.0.2-cp311-cp311-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`4fe9ba4936f95b45c64d50ec74553594480c4ede291ca34d61a2422230991b87`
MD5	`f40866d6c5363bc8ff507cc29d1b72d6`
BLAKE2b-256	`cdf6a25f000d65d60dcb77accb6c916b754da14ff5d18fc5d3f15aa9bb8b5c0a`

Hashes for cythonbiogeme-1.0.2-cp310-cp310-win_amd64.whl

Hashes for cythonbiogeme-1.0.2-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`3b210ae7617348fe2e63717b2fbb6695ebb255fe6b33c1b80d5b75155e46a2aa`
MD5	`c65174cad6acc1408b42bf706064968b`
BLAKE2b-256	`850f6464c919b6b842015f7d298dac9ca762275fb81aa7cc7d30f6946ba93d5c`

Hashes for cythonbiogeme-1.0.2-cp310-cp310-macosx_10_9_universal2.whl

Hashes for cythonbiogeme-1.0.2-cp310-cp310-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`8dcf9626701f4cb73a6adf08b48735b7567e56998dcbcbacec2cd670258af8d6`
MD5	`41545d78520fdf49fa008e23f8bc6f72`
BLAKE2b-256	`4185512d56d6ec45b94ffb4bb735000cd26543081957b2277915fff3cee8ddec`

Hashes for cythonbiogeme-1.0.2-cp39-cp39-win_amd64.whl

Hashes for cythonbiogeme-1.0.2-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`0f50e3a89ce1e6023cb91b72e71f5bd4afc288bbd24a950b6f8d34c37778ce34`
MD5	`8608d271a269e3ed6574b19a6d329018`
BLAKE2b-256	`a85599d8d86ea9c272fc905f5096dfc028b8fbd7f106b3a037d27519751ad8fa`

Hashes for cythonbiogeme-1.0.2-cp39-cp39-macosx_10_9_universal2.whl

Hashes for cythonbiogeme-1.0.2-cp39-cp39-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`20f8b2863d9da25df45b2dc74b48dee6de3750d5f92ae655d65a6626aeb14673`
MD5	`5f4e932adf1d1597f096bf228049f7d6`
BLAKE2b-256	`3d62bb1df1b6fde87d1ccdbea9da7ecbc8673f0a5e0297d03652c6c994f3f67f`