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Splito - Dataset splitting for life sciences


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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

Code style

We use ruff as a linter and formatter.

ruff check
ruff format

Documentation

You can build and run documentation server with:

mkdocs serve

License

Under the Apache-2.0 license. See LICENSE.

Metadata

Release files for splito 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for splito 0.1.4
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splito-0.1.4.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for splito 0.1.4
File Interpreter ABI Platform
splito-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 1.0 MB

Release files / splito-0.1.4.tar.gz

Download URL splito-0.1.4.tar.gz
Size 1.0 MB
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Release files / splito-0.1.4-py3-none-any.whl

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0.1.4 This release

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