A deep learning model for tabular data (under research)
1 maintainer
Metadata
1 maintainer
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 | Provenance | Actions |
|---|---|---|---|---|
| cheemsnetone-2.0.1.tar.gz | 1.3 kB | Without provenance | Details for cheemsnetone-2.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cheemsnetone-2.0.1-py3-none-any.whl | Python 3 | none | any | Details for cheemsnetone-2.0.1-py3-none-any.whl |
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 |
6c23785b2b2384fe143b96450806b38b3af06d73f786c947415cd6cb93292aae
|
| 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 |
187dc615d76179b7b3e8d5a1a1a2ec084d5b9c945808216ec991e3252359b118
|
|
BLAKE2b-256 checksum How to use checksums |
c9458d390f40f0fecbc231c751a6e70852f1affc4d997e9e8d562dd2cf95caa4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.0
|
Security for cheemsnetone 2.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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