Feedstock license: BSD-3-Clause
Package license: MIT
Summary: Machine learning tools for use with tiledbsoma (SOMA PyTorch loaders)
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Installing tiledbsoma-ml from the tiledb channel can be achieved by adding tiledb to your channels with:
conda config --add channels tiledb
conda config --set channel_priority strict
Once the tiledb channel has been enabled, tiledbsoma-ml can be installed with conda:
conda install tiledbsoma-ml
or with mamba:
mamba install tiledbsoma-ml
It is possible to list all of the versions of tiledbsoma-ml available on your platform with conda:
conda search tiledbsoma-ml --channel tiledb
or with mamba:
mamba search tiledbsoma-ml --channel tiledb
Alternatively, mamba repoquery may provide more information:
# Search all versions available on your platform:
mamba repoquery search tiledbsoma-ml --channel tiledb
# List packages depending on `tiledbsoma-ml`:
mamba repoquery whoneeds tiledbsoma-ml --channel tiledb
# List dependencies of `tiledbsoma-ml`:
mamba repoquery depends tiledbsoma-ml --channel tiledb
If you would like to improve the tiledbsoma-ml recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
tiledb channel, whereupon the built conda packages will be available for
everybody to install and use from the tiledb channel.
Note that all branches in the TileDB-Inc/tiledbsoma-ml-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.