Splito - Dataset splitting for life sciences
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)
| File | Size | Uploaded | |
|---|---|---|---|
| splito-0.1.4.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / splito-0.1.4-py3-none-any.whl
| Download URL | splito-0.1.4-py3-none-any.whl |
|---|---|
| Size | 39.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|