A deep learning model for tabular data (under research)
Release files for tchrdmodel 3.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tchrdmodel-3.3.3.tar.gz | 1.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tchrdmodel-3.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.5 kB
Release files / tchrdmodel-3.3.3.tar.gz
| Download URL | tchrdmodel-3.3.3.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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.0
|
Release files / tchrdmodel-3.3.3-py3-none-any.whl
| Download URL | tchrdmodel-3.3.3-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0bb89e13e9623cf71cbf2cf62c3a9e50b74059067edc323ef854ed40ad367670
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BLAKE2b-256 checksum How to use checksums |
b09e461b4f922b3aa221bb9ef43e92626aeecee36ffab61db4e91b01f30af26f
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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
|