A custom model for tabular data using attention and feature transformer blocks
Project description
A deep learning model for tabular data (under research)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cheemsnetone-2.0.1.tar.gz
(1.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cheemsnetone-2.0.1.tar.gz.
File metadata
- Download URL: cheemsnetone-2.0.1.tar.gz
- Upload date:
- Size: 1.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
44e9a38962a4991c23b723dc0f5626413d245cfef8e92b9ab95450abf7cd743f
|
|
| MD5 |
7fe31675e30ae3d44e81f73e283ded54
|
|
| BLAKE2b-256 |
6c23785b2b2384fe143b96450806b38b3af06d73f786c947415cd6cb93292aae
|
File details
Details for the file cheemsnetone-2.0.1-py3-none-any.whl.
File metadata
- Download URL: cheemsnetone-2.0.1-py3-none-any.whl
- Upload date:
- Size: 2.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
187dc615d76179b7b3e8d5a1a1a2ec084d5b9c945808216ec991e3252359b118
|
|
| MD5 |
007ccf04f5eeda2e9e488d4ec37afdd7
|
|
| BLAKE2b-256 |
c9458d390f40f0fecbc231c751a6e70852f1affc4d997e9e8d562dd2cf95caa4
|
