A machine learning package for data analysis and predictive modeling
1 maintainer
Metadata
1 maintainer
Release files for smartsolve 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| smartsolve-0.0.5.tar.gz | 22.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| smartsolve-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.7 kB
Release files / smartsolve-0.0.5.tar.gz
| Download URL | smartsolve-0.0.5.tar.gz |
|---|---|
| Size | 22.3 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Release files / smartsolve-0.0.5-py3-none-any.whl
| Download URL | smartsolve-0.0.5-py3-none-any.whl |
|---|---|
| Size | 23.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e1cd88a699603f449138db54fcc3b2ce2f152e5b428e1c9dd0cfc9387c67afbb
|
|
BLAKE2b-256 checksum How to use checksums |
80b5e3d4db89fb7d7ead5f9316bdf3ec4ca094509e2069319ce57f50deca4675
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
