semvec/pypi-packages huggingface dataset:
jzd 1.0.2
JZD (JSON Zip Data) is a Python library that provides functionality for handling JZD files, which are ZIP-compressed JSON data files. It allows you to read, write, list, delete, and rename classes within JZD files.

JZD File Utility
================

The JZD File Utility is a Python library that provides a set of
functions for managing JZD files. JZD files are compressed files that
contain JSON data for multiple classes.

Features
--------

-  Load JSON data from a JZD file for a specific class.
-  Write JSON data into a JZD file for a specific class.
-  List all class names in a JZD file.
-  Delete a specific class from a JZD file.
-  Rename a class in a JZD file.

Installation
------------

You can install the JZD File Utility from PyPI using pip:

::

   pip install jzdfile

Usage
-----

Here is an example of how to use the JZD File Utility:

.. code:: python

   import jzdfile

   # Load data from a JZD file
   data = jzdfile.load('path/to/jzdfile.zip', 'ClassName')

   # Manipulate or process the data...

   # Write data into a JZD file
   jzdfile.write('path/to/jzdfile.zip', 'ClassName', data)

   # List all class names in a JZD file
   class_list = jzdfile.list_class('path/to/jzdfile.zip')

   # Delete a class from a JZD file
   deleted = jzdfile.delete_class('path/to/jzdfile.zip', 'ClassName')

   # Rename a class in a JZD file
   renamed = jzdfile.rename_class('path/to/jzdfile.zip', 'OldName', 'NewName')

License
-------

This project is licensed under the MIT License. See the LICENSE file for
more details. \``\`
qrnet 0.1
A simple tool to generate a QR code for Wi-Fi credentials.

# qrnet

A simple command-line tool to generate QR codes for Wi-Fi credentials.

## Installation

Install `qrnet` using pip:

```
pip install qrnet
```

## Usage

To generate a QR code for your Wi-Fi:

```
qrnet <SSID> <Password> <Encryption Type> [-f filename.png]
```

### Arguments
- SSID: The SSID of your Wi-Fi network.
- Password: The password for your Wi-Fi network.
- Encryption Type: Choose from WEP, WPA, or WPA2.
- filename (optional): Specify the filename for the QR code image. If not provided, the default is `wifi_qr.png`.

## Contributing
Pull requests are welcome.
checkey-sklearn 0.1.1
自己平时会使用的一些统计学和数学模型,目前有两个改进的朴素贝叶斯算法和一个TOPSIS
Keywords: Machine Learning,Python


# 使用说明

自己平时会使用的一些统计学和数学模型,目前有两个改进的朴素贝叶斯算法和一个TOPSIS

GitHub: [https://github.com/CheckeyZerone/Checkey-Sklearn](https://github.com/CheckeyZerone/Checkey-Sklearn)

PyPI: [https://pypi.org/project/checkey-sklearn/](https://pypi.org/project/checkey-sklearn/)

## 版权声明
    Checkey-Sklearn
    Copyright (C) 2023  CheckeyZerone

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU Affero General Public License as published
    by the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU Affero General Public License for more details.

    You should have received a copy of the GNU Affero General Public License
    along with this program.  If not, see <https://www.gnu.org/licenses/>.

## 安装方法
```commandline
pip install chlearn
```

## 依赖的第三方模块包

```
numpy
pandas
scikit-learn
```

## 实现算法

- 朴素贝叶斯改进
- 熵权-TOPSIS模型

## 使用方法

```python
model = Model(*params)
model.fit(x_train[, y_train, params])
model.predict(x_test)  # or model.transform(x_test)
```