Skip to main content

A python project for prototype-based machine learning models

Project description

Prosemble

python: 3.8 github pypi License: MIT

A python project for prototype-based machine learning models

Installation

Prosemble can be installed using pip.

pip install prosemble

If you have installed Prosemble before and want to upgrade to the latest version, you can run the following command in your terminal: Prosemble can be installed using pip.

pip install -U prosemble

To install the development version from GitHub using Git, run the following command in your terminal:

pip install git+https://github.com/naotoo1/prosemble

Bibtex

If you would like to cite the package, please use this:

@misc{Otoo_Prosemble_2022,
author = {Otoo, Nana Abeka},
title = {Prosemble},
year = {2022},
publisher = {GitHub},
journal = {GitHub repository},
howpublished= {\url{https://github.com/naotoo1/Prosemble}},
}

Project details


Download files

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

Source Distribution

prosemble-0.9.1.tar.gz (27.7 kB view details)

Uploaded Source

Built Distribution

prosemble-0.9.1-py2.py3-none-any.whl (67.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file prosemble-0.9.1.tar.gz.

File metadata

  • Download URL: prosemble-0.9.1.tar.gz
  • Upload date:
  • Size: 27.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for prosemble-0.9.1.tar.gz
Algorithm Hash digest
SHA256 41df48a7f031d11eeeeccd8b21b977a74717f7a0910e47d7037b85a5a908329b
MD5 d6a6177cf0f9394f686fcc25b25e8e14
BLAKE2b-256 de1575703d1f59863c8d4348db559de6f3e80e9639851eda7f1e0fb6530f25f2

See more details on using hashes here.

File details

Details for the file prosemble-0.9.1-py2.py3-none-any.whl.

File metadata

  • Download URL: prosemble-0.9.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 67.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for prosemble-0.9.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 760ab7b7faf9cda84a08708b29e81febb6ab5566f39f045a414c01e5f1677fc7
MD5 f2254050e5d08dd5372df2ade9044c7e
BLAKE2b-256 0bdedb5b1fd826ea99155860833a077dd24625a08dc275568464cc930562d1e9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page