https://github.com/johanneswiesner/skplot

A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.
https://github.com/johanneswiesner/skplot

plotting python scikit-learn sklearn visualization

Last synced: 3 days ago
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A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.

• Host: GitHub
• URL: https://github.com/johanneswiesner/skplot
• Owner: JohannesWiesner
• License: bsd-3-clause
• Created: 2020-06-10T09:11:49.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-01-13T15:39:44.000Z (about 4 years ago)
• Last Synced: 2025-01-05T11:16:36.482Z (9 days ago)
• Topics: plotting, python, scikit-learn, sklearn, visualization
• Language: Python
• Homepage:
• Size: 171 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# skplot

A python package for extracting, plotting and reporting information from one or multiple sklearn classification & prediction pipelines.

## Features

skplot contains four modules that facilitate the final goal of data visualization.

- extraction.py (helps with data extraction from sklearn outputs)

- preparation.py (helps to prepare the extracted data in order to plot it)

- plotting.py (plot one or multiple outputs from sklearn)

- report.py (create statistical reports)

## Example

See examples/breast_cancer.py for a small introduction on how to use skplot. skplot is able to produce outputs like in the plot below that visualizes how different

input parameters of your pipeline affect your training and test scores:

You can plot it like this:

![Example 1](/examples/breast_cancer_catplot.png)

Or like this, depending on your taste:

![Example 2](/examples/breast_cancer_lineplot.png)