MML drive plugin
This plugin provides support for fast data installation via a shared network drive. It extends the create scheduler
to look for respective downloaded files there first. This might be useful if a team works jointly with mml and you
want to avoid redundant downloading of raw datasets.
Install
After installing this plugin via pip you need to mount a network drive. On that network drive there needs to reside
the following file structure: MedicalMetaLearner/DOWNLOADS. You may copy contents of your local
MML_DATA_PATH/DOWNLOADS into that folder to provide the downloaded files to others. Every user that wants to download
is required to add export MML_NW_DRIVE=path/to/drive/root to their mml.env file.
Usage
Just use mml create as usual. If the network drive offers a benefit, mml will download data from there.
1 maintainer
Metadata
1 maintainer
Release files for mml-drive 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mml_drive-0.2.2.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mml_drive-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / mml_drive-0.2.2.tar.gz
| Download URL | mml_drive-0.2.2.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / mml_drive-0.2.2-py3-none-any.whl
| Download URL | mml_drive-0.2.2-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
8ba59f4eb31540279b66e8564b8150643d61b4364055849acce3732b666a1b31
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on May 2, 2025.
Transparency log
