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Wrap lightning's train as an ST method #40

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Apr 25, 2024
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2 changes: 1 addition & 1 deletion Dockerfile
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,6 @@ RUN python3 -m venv $VIRTUAL_ENV && \

USER $USERNAME

COPY . .
COPY --chown=${USER_UID}:${USER_GID} . .

RUN poetry install --with docs,dev
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -11,7 +11,7 @@ It outputs:

A **preprint** describing the method and introducing a novel benchmarking workflow is available: [Lee et al. (2024) _Segmentation error aware clustering for highly multiplexed imaging_](https://www.biorxiv.org/content/10.1101/2024.02.29.582827v1)

A **tutorial** outlining basic usage is available [here](https://github.com/camlab-bioml/starling/blob/main/docs/source/tutorial/getting-started.ipynb).
A **tutorial** outlining basic usage is available [here][tutorial].

![Model](https://github.com/camlab-bioml/starling/raw/main/starling-schematic600x.png)

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2 changes: 2 additions & 0 deletions docs/source/conf.py
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Expand Up @@ -21,6 +21,8 @@

nb_execution_timeout = -1

autodoc_typehints = "description"

html_theme = "sphinx_rtd_theme"
html_static_path = ["_static"]
html_css_files = [
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