# HDMF-ML - an HDMF schema for machine learning workflows
1 maintainer
Metadata
1 maintainer
Release files for hdmf-ml 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hdmf_ml-0.0.1.tar.gz | 1.9 kB | Without provenance | Details for hdmf_ml-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hdmf_ml-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for hdmf_ml-0.0.1-py3-none-any.whl |
Total release size: 3.4 kB
Release files / hdmf_ml-0.0.1.tar.gz
| Download URL | hdmf_ml-0.0.1.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
|
Release files / hdmf_ml-0.0.1-py3-none-any.whl
| Download URL | hdmf_ml-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
04fca8bbf92e633e21881a28ec16ab50bfc40daa7ded70b5621306656f70f6c8
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.7
|
Security for hdmf-ml 0.0.1
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