A deep learning model for tabular data (under research)
Release files for cheemsnetone 2.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cheemsnetone-2.0.1.tar.gz | 1.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cheemsnetone-2.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.5 kB
Release files / cheemsnetone-2.0.1.tar.gz
| Download URL | cheemsnetone-2.0.1.tar.gz |
|---|---|
| Size | 1.3 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/5.1.1 CPython/3.9.0
|
Release files / cheemsnetone-2.0.1-py3-none-any.whl
| Download URL | cheemsnetone-2.0.1-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| 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/5.1.1 CPython/3.9.0
|