Difference Boosting Neural Network Implementation
Project description
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
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Source Distribution
dbnn-4.7.0.tar.gz
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