TileDB-SOMA-ML
A Python package containing ML tools for use with TileDB-SOMA.
Docs: single-cell-data.github.io/TileDB-SOMA-ML.
NOTE: this is a pre-release package, and may be subject to breaking API changes prior to first release.
Description
The package contains a prototype PyTorch IterableDataset, ExperimentDataset, for use with the torch.utils.data.DataLoader API.
notebooks/ contains tutorials and examples that use this repo to train toy models. For a general introduction to PyTorch data loading, see this tutorial. Additional information on the DataLoader/Dataset pattern can be found here.
Defects and feature requests should be filed as a GitHub issue in this repo. Please include a reproducible test case in all bug reports.
Getting Started
Installing
Install from PyPI:
pip install tiledbsoma-ml
Developers may install editable, from source, in the usual manner -- clone the repo and execute:
pip install -e .
Documentation
Documentation can be found at single-cell-data.github.io/TileDB-SOMA-ML, and in the notebooks directory.
Builds
This is a pure Python package. To build a wheel, ensure you have the build package installed, and then:
python -m build .
Version History
See the CHANGELOG.md file.
License
This project is licensed under the MIT License.
Acknowledgements
The SOMA team is grateful to the Chan Zuckerberg Initiative Foundation CELLxGENE Census team for their initial contribution.
Metadata
Release files for tiledbsoma-ml 0.1.0
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| tiledbsoma_ml-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 514.4 kB
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