https://github.com/vlada-pv/catboost-docker-image

The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.
https://github.com/vlada-pv/catboost-docker-image

binary-classification catboost docker flask

Last synced: about 2 months ago
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The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.

• Host: GitHub
• URL: https://github.com/vlada-pv/catboost-docker-image
• Owner: vlada-pv
• Created: 2024-05-31T15:15:15.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-31T15:19:15.000Z (about 2 years ago)
• Last Synced: 2025-06-17T06:45:54.580Z (about 1 year ago)
• Topics: binary-classification, catboost, docker, flask
• Language: Python
• Homepage:
• Size: 235 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# CatBoost-Docker-Image

The project should include the front and back parts. Communication between front and back is implemented via API.  The front of the container is available at port :3000 The front part offers the option of uploading a scoring file in the format.csv dataset from the competition. And the option to upload the file after scoring by the model in the sample_submission.csv format.   

The service performs the following stages of the ML project inside the container with separate scripts: 

* API

* Input file loading and data preprocessing

* Scoring of the processed dataset