Automated machine learning for materials science. https://github.com/hackingmaterials/automatminer
Release files for automatminer 1.0.3.20200727
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 | |
|---|---|---|---|---|
| automatminer-1.0.3.20200727.tar.gz | 429.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| automatminer-1.0.3.20200727-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 892.2 kB
Release files / automatminer-1.0.3.20200727.tar.gz
| Download URL | automatminer-1.0.3.20200727.tar.gz |
|---|---|
| Size | 429.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
a62c9593bc64f89a67a75040d46b3cd30d8ac609cc3e1b9b9e30e4e5b682441e
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3
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Release files / automatminer-1.0.3.20200727-py3-none-any.whl
| Download URL | automatminer-1.0.3.20200727-py3-none-any.whl |
|---|---|
| Size | 463.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2014f6c8fd07438df914f71a7da466d948730b4643a68f7730626e1c9e07830b
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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/1.13.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3
|
Security for automatminer 1.0.3.20200727
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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