skdoc

Automated documentation engine for scikit-learn models

import pandas as pd
from skdoc import render_report

dataframe = pd.DataFrame({'A': [1, 2, 4, 3], 'B': [3, 5, 9, 4]})

render_report(dataframe)

Metadata

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Table of built distributions (wheels) for skdoc 0.0.1.5
File	Interpreter	ABI	Platform	Reset
skdoc-0.0.1.5-py3-none-any.whl 3.4 kB Apr 16, 2023	Python 3	none	any	Details

Download URL	skdoc-0.0.1.5-py3-none-any.whl
Size	3.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b1b33ccbe7334f5c67cff2ef6c5a611be86a75c56612be2a152822cc9a9ff03d`
BLAKE2b-256 checksum How to use checksums	`7c0645674795fdab5f8388f48dfee8ab277166ee20abae5b73103ad5964e139b`
Upload date	Apr 16, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.6`