Metadata-Version: 2.1
Name: quickpanda-aidroid
Version: 0.0.1
Summary: quick analysis and dataanalysis pipleline 
Home-page: https://github.com/yasuo626/QuickPanda
Author: aidroid
Author-email: Example Author <author@example.com>
Project-URL: Homepage, https://github.com/pypa/sampleproject
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Keywords: computer vision
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: sklearn
Requires-Dist: numpy

#a pipeline for quick data analysis and machine learning

##file_operate:

***
--------
> <u>__*~~123~~*__</u>

* read file and do base operate like auto asdtype etc.
* it support multi type files operates together.

##preprocess:

    create a preprocessor to preprocessing(dropna,fillna,dropoutlyers...)
    you can select the file and cols by passing dict-type args.
##analysis:
    base on the previous manipulations,we get clean datas,we can now acutally start the analysis tasks:
    correlation:
        get correlations between value-type features and labels. 
        compare the correlation between class-type features and labels.
        

##modeling:
    we provide base ml models to complete classification or regression tasks
    listing:
        gbdt:xgboost,light gbm,radom forests
        norm:svc,linear,logistic,bayes
        timesequence:ARMA,ARIMA
        nn:
        DeepLearning:\

statistic_test:

[//]: # (    [test func]&#40;https://blog.csdn.net/weixin_46271668/article/details/123981051&#41;)

    normality test
    correlation test
    significance test
    parametric test
    nonparametric test

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![alt 属性文本](C:\Users\23920\Desktop\avatar.jpg)
