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**NOTE:** this is a _pre-release_ package, and may be subject to breaking API changes prior to first release.
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## Description
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The package contains a prototype PyTorch [`IterableDataset`] for use with the
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[`torch.utils.data.DataLoader`]
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API. For a general introduction to PyTorch data loading,
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[see this tutorial][torch data tutorial].
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Additional information on the DataLoader/Dataset pattern
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[can be found here][`torch.data`].
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The package contains a prototype PyTorch [`IterableDataset`], [`ExperimentDataset`], for use with the [`torch.utils.data.DataLoader`] API.
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Defects and feature requests should be filed as a GitHub issue in this repo. Please include a reproducible test case in all bug reports.
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[notebooks/](notebooks) contains tutorials and examples that use this repo to train toy models. For a general introduction to PyTorch data loading, [see this tutorial][torch data tutorial]. Additional information on the DataLoader/Dataset pattern [can be found here][`torch.data`].
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Defects and feature requests should be filed as [a GitHub issue][/issues] in this repo. Please include a reproducible test case in all bug reports.
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## Getting Started
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### Installing
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Prior to the first release, installation is most easily accomplished by installing directly from GitHub:
Developers may install editable, from source, in the usual manner -- clone the repo and execute:
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### Documentation
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Documentation is pending. Preliminary documentation can be found at [single-cell-data.github.io/TileDB-SOMA-ML], and in
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the [notebooks] directory.
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Documentation can be found at [single-cell-data.github.io/TileDB-SOMA-ML], and in the [notebooks] directory.
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## Builds
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## Acknowledgements
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The SOMA team is grateful to the Chan Zuckerberg Initiative Foundation [CELLxGENE Census](https://cellxgene.cziscience.com)
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team for their initial contribution.
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The SOMA team is grateful to the Chan Zuckerberg Initiative Foundation [CELLxGENE Census](https://cellxgene.cziscience.com) team for their initial contribution.
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