semvec/pypi-packages huggingface dataset:
lacerta 0.1.2
Interactive data viz for science and engineering
Requires Python: >=3.9

# lacerta
 Interactive data viz for science and engineering. Long-term goal is for `lacerta` to be for `bokeh` what `seaborn` is for `matplotlib` - strongly opinionated default settings, usability enhancements and auto-formatting that generate beautiful and interpretable viz in one function call.

 `pip install lacerta`

 ### Heatmap Scatter

Generate a correlation heatmap (defaults to Pearson coef.) from the numerical columns of a provided `DataFrame`, and reveal the underlying x/y scatter plot for each cell on click, complete with information-rich hover tools, scroll-zoom and pan.

See the provided [heatmap_scatter notebook](notebooks/2023-02-25-interactive-scattermatrix.ipynb) for an example.

![heatmap_scatter](img/hm_sc_demo.gif)
dbnn 4.7.4
Difference Boosting Neural Network Implementation
Requires Python: >=3.6

# DBNN (Difference Boosting Neural Network)

A GPU-optimized implementation of Difference Boosting Neural Networks for classification tasks.


## Usage

1. Create a configuration file `<dataset_name>.conf` in 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