DBNN (Difference Boosting Neural Network)
A GPU-optimized implementation of Difference Boosting Neural Networks for classification tasks.
Usage
- Create a configuration file
<dataset_name>.confin your working directory:
{ "file_path": "your_data.csv", "target_column": "your_data_target_name", "separator": ",", "has_header": true, "likelihood_config": { "feature_group_size": 2, "max_combinations": 1000 } }
Installation
Metadata
Release files for dbnn 4.7.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbnn-4.7.4.tar.gz | 17.0 kB | Details |
Release files / dbnn-4.7.4.tar.gz
| Download URL | dbnn-4.7.4.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2a2dd4c96ce00c8a77d52bb16bfaf49665bb1020854e9f46cda161ef6a469a9f
|
|
BLAKE2b-256 checksum How to use checksums |
0e6b8323dfabb256a156d971ea7aa30da1dec53432a6f0feda6e9574584d4338
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|