Automated machine learning for materials science. https://github.com/hackingmaterials/automatminer
Release files for automatminer 1.0.2.20191110
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-1.0.2.20191110.tar.gz | 428.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| automatminer-1.0.2.20191110-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 891.1 kB
Release files / automatminer-1.0.2.20191110.tar.gz
| Download URL | automatminer-1.0.2.20191110.tar.gz |
|---|---|
| Size | 428.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
9371d87dc726cb2103876cd61bc257a5efe872e3dfdcb0aa203010dae8bf09a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
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Release files / automatminer-1.0.2.20191110-py3-none-any.whl
| Download URL | automatminer-1.0.2.20191110-py3-none-any.whl |
|---|---|
| Size | 462.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0a06a5ba53197c805684631cf4a6db87343e4a34dc3d14186a47c9430732098a
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|
BLAKE2b-256 checksum How to use checksums |
64bbb236d00246624efcbf303da975291bd3e78b5a2b7280635d83ffef222bd0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
|
Security for automatminer 1.0.2.20191110
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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