https://github.com/srzstephen/modelwrap

Quick Wrapper for something that isn't quite working right on sagemaker.
https://github.com/srzstephen/modelwrap

Last synced: about 1 month ago
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Quick Wrapper for something that isn't quite working right on sagemaker.

• Host: GitHub
• URL: https://github.com/srzstephen/modelwrap
• Owner: SrzStephen
• License: wtfpl
• Created: 2021-02-06T17:04:15.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-06T17:41:36.000Z (over 4 years ago)
• Last Synced: 2025-04-11T19:23:55.663Z (about 1 month ago)
• Language: Python
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# SModelWrap [![PyPI version](https://badge.fury.io/py/SModelWrap.svg)](https://badge.fury.io/py/SModelWrap) [![Build Status](https://travis-ci.com/SrzStephen/ModelWrap.svg?branch=main)](https://travis-ci.com/SrzStephen/ModelWrap)

## You probably should not use this

I had to quickly create something and upload it to pypy so that I could get something working properly with an

 AWS Sagemaker pipeline that I don't own.

 

## What is it

Provides the class ```ModelPerClass``` which implements a custom predict method that will allow predictions on a single model 

per unique value in a row of a pandas DataFrame.