Skip to main content

quickpanda

Project description

a pipeline for quick data analysis and machine learning

file_operate:

  • 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:

normality test
correlation test
significance test
parametric test
nonparametric test

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quickpanda-0.0.5.tar.gz (17.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

quickpanda-0.0.5-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file quickpanda-0.0.5.tar.gz.

File metadata

  • Download URL: quickpanda-0.0.5.tar.gz
  • Upload date:
  • Size: 17.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for quickpanda-0.0.5.tar.gz
Algorithm Hash digest
SHA256 f9cd766c9289f72394c142099029a68d6401b04413ae2d2996e92661b0f4040e
MD5 fc77eaf0f46db7dd23f040e2fe39f3ed
BLAKE2b-256 230ec51d7c9fd42ae552775a33b1891767cdc3806b2e3ee809e80cc6fa06330f

See more details on using hashes here.

File details

Details for the file quickpanda-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: quickpanda-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 18.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for quickpanda-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 023b99bd5c50d7b4eb40118b7c0ce85a76ee495acce249f3bfbc2841a84f290a
MD5 339816395cbe1abcb486f1341b635458
BLAKE2b-256 3719be49c3d13761e4bf1bef1523df13c69bb4ad18279116a73d543f2a12c04d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page