Skip to main content

Machine Learning dataset splitting for life sciences.

Project description

Splito - Dataset splitting for life sciences


PyPI Conda PyPI - Downloads Conda PyPI - Python Version Code license GitHub Repo stars GitHub Repo stars

test release code-check doc

Splito is a machine learning dataset splitting library for life sciences.

Installation

You can install splito using pip:

pip install splito

You can use conda/mamba. Ask @maclandrol for credentials to the conda forge or for a token

mamba install -c conda-forge splito

Documentation

Find the documentation at https://splito-docs.datamol.io/.

Development lifecycle

Setup dev environment

micromamba create -n splito -f env.yml
micromamba activate splito

pip install --no-deps -e .

Tests

You can run tests locally with:

pytest

License

Under the Apache-2.0 license. See LICENSE.

Download files

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

Source Distribution

splito-0.1.1.tar.gz (784.0 kB view details)

Uploaded Source

Built Distribution

splito-0.1.1-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file splito-0.1.1.tar.gz.

File metadata

  • Download URL: splito-0.1.1.tar.gz
  • Upload date:
  • Size: 784.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for splito-0.1.1.tar.gz
Algorithm Hash digest
SHA256 0277e34a7f4d7df4e6775aca48686c1374d13527509198b76d86ce2c3cc68800
MD5 abba5923bcf4e2272f1839c146aa9bf0
BLAKE2b-256 9b221a500ef534865e1713a056d99bf2f5389ef01c703aa12a73811cd1dfdcbd

See more details on using hashes here.

File details

Details for the file splito-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: splito-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 35.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for splito-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ebf0a262b3ecb85711d0adb39d74174611bd6fe90f907cd2f53b739014161701
MD5 49428fb376b1d9860b1812d7288ac69a
BLAKE2b-256 73965d47834afc47cea94cc514aa9b9758de73d6ea81cc62fc70df1a554a0b4c

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