A machine learning benchmark for materials science. https://github.com/materialsproject/matbench
Release files for matbench 0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matbench-0.6.tar.gz | 9.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matbench-0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.4 MB
Release files / matbench-0.6.tar.gz
| Download URL | matbench-0.6.tar.gz |
|---|---|
| Size | 9.6 MB |
| Tags | Source |
|
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/3.10.1
|
Release files / matbench-0.6-py3-none-any.whl
| Download URL | matbench-0.6-py3-none-any.whl |
|---|---|
| Size | 9.9 MB |
| Tags | Python 3 |
|
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/3.10.1
|
