Metadata-Version: 2.1
Name: DataProTool
Version: 1.2.0
Summary: It is a library that support advance tools in feature engineering.
Home-page: https://github.com/Zhang-Jiexi/DataProTool
Author: Zhang Jiexi
Author-email: zhangjiexi66696@outlook.com
License: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft
Classifier: Natural Language :: English
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
License-File: LICENSE

DataProTool
===========

introduction
------------

It is a library that support advance tools in feature engineering and
data progress. This library is independently developed by Zhang Jiexi.
Author's e-mail: zhangjiexi66696@outlook.com

install
-------

you can use ``pip install DataProTool`` to install this library. in
version ``1.2.0`` , I rewrite the setup file so you don't have to
install dependent libraries manually.

what's new in the version\ ``1.2.0``
------------------------------------

1.Support English! Now, I create an English version for this tool.and I
set this tool's main language is English. You can simplely use
``import dataprotool``. If you want to use Chinese version, you can use
``import dataprotool.cn`` to import.

2.I add three feature derivation function in the ``FreatureDerivation``
class, they are: 1.target encode derivation:
``target_encode_derivation()``\  2.four arithmetic feature derivation:
``four_arithmetic_feature_derivation()``\  3.cross combination feature
derivation: ``cross_combination_feature_derivation()``\ 

3.When you use the function of ``FeatureFilter`` class ,it will return
the score or sort of data. 4.Fix some bugs in some function.

dependent libraries
-------------------

numpy ~= 1.23.3 pandas ~= 1.5.0 scikit-learn ~= 1.0.2 tqdm ~= 4.64.1

``tqdm`` is used to create progress bar.
