semvec/pypi-packages huggingface dataset:
ShapEV 0.0.1
A package for identifying Equivalent Value based on joint SHAP values
License: MIT
Requires Python: >=3.5


 
## ShapEV
A package for identifying **Equivalent Value** based on joint SHAP values.

ShapEV is an python package that identifies **Equivalent Value** among features based on cooperative game theory. By leveraging SHAP values, ShapEV decomposes feature contributions and their interactions, defining joint SHAP values to capture combined feature effects. For more details, refer to the original publication: [Joint Model Interpretation (JMI)](https://www.oaepublish.com/articles/jmi.2022.04).

An **Equivalent Value** is proposed based on the joint SHAP value, reflecting each feature's overall contribution to the regression target. ShapEV applies this equivalent value to represent the collective behavior of interacting features, allowing users to substitute original individual features with a unified **Equivalent Value**.

On the modified dataset, ShapEV calculates the contribution of the proposed **Equivalent Value** by comparing it to SHAP contributions. This validation confirms that, within the SHAP framework, the equivalent value linearly correlates with the target when showing high correlation.


## About
Maintained by Bin Cao. Please feel free to open issues in the Github or contact Bin Cao
(bcao686@connect.hkust-gz.edu.c) in case of any problems/comments/suggestions in using the code.
dash-lumino-components 0.0.20
Lumino (JupyterLab) components for Plotly Dash
License: MIT

# Dash Lumino Components
![Publish release](https://github.com/VK/dash-lumino-components/workflows/Publish%20release/badge.svg)
[![PyPI](https://img.shields.io/pypi/v/dash-lumino-components?logo=pypi)](https://pypi.org/project/dash-lumino-components)
[![npm](https://img.shields.io/npm/v/dash_lumino_components.svg?logo=npm)](https://www.npmjs.com/package/dash_lumino_components)
[![Documentation](https://github.com/VK/dash-lumino-components/workflows/Documentation/badge.svg)](https://vk.github.io/dash-lumino-components)


This package integrates [Lumino Widgets](https://github.com/jupyterlab/lumino), the basis of [JupyterLab](https://github.com/jupyterlab/jupyterlab), into [Plotly's Dash](https://github.com/plotly/dash).

Create a multi-window dash app with just a few lines of code.
Check out the [examples](https://github.com/VK/dash-lumino-components/tree/master/examples):  
![multiplots example](https://raw.githubusercontent.com/VK/dash-lumino-components/master/examples/multiplots.gif)
```python
dlc.MenuBar(menus, id="main-menu"),
dlc.BoxPanel([
    dlc.SplitPanel([
        dlc.TabPanel([
            gapminderPlotsPanel,
            irisPlotsPanel,
            tipsPlotsPanel
        ], id='tab-panel-left'),
        dlc.DockPanel([], id="dock-panel")
    ], id="split-panel")
], id="box-panel", addToDom=True)
```



## Local Developement
1. Install npm packages
    ```
    $ npm install
    ```
    
2. Create a virtual env and activate.
    ```
    $ virtualenv venv
    $ . venv/bin/activate
    ```
    _Note: venv\Scripts\activate for windows_

3. Install python packages required to build components.
    ```
    $ pip install -r requirements.txt
    $ pip install -r tests/requirements.txt
    ```

4. Build your code
    ```
    $ npm run build
    ```
dbbridge 0.3.1
A unified cloud db package for AWS, Azure, and GCP
License: MIT
Requires Python: >=3.6

# Cloud DB Connector

A unified cloud storage package that provides seamless integration with major cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This library allows developers to easily access and manage cloud storage services with a consistent interface.

## Features

- **Supports Multiple Cloud Providers**: Easily switch between AWS, Azure, and GCP.
- **Flexible Configuration**: Configure services with required parameters for each provider.
- **Intuitive API**: Simple methods for managing cloud storage operations.

## Installation

You can install the package using pip:

```bash
pip install cloud-storage-service