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Please note: The code in these repos is sourced from the DataRobot user community and is not owned or maintained by DataRobot, Inc. You may need to make edits or updates for this code to function properly in your environment.

Tutorial - Movie Rating Predictor and Classifier

A tutorial for how build a web application that uses DataRobot to classify movie ratings by audiences. Demo: https://movie-rating-app.now.sh/

The app lets you rate the movie and uses ML to clasify your rating in either positive or negative - Rotten Tomatoes style.
It uses DataRobot to create the ML model, deploy it, and expose it as a prediction API, and the movie database taken from from RapidApi.
The movies you can rate are taken from IMDB's top 250 movies of all time.

Requirements

Usage

To follow along the tutorial check out the start_exercise branch. To see the finished application check out the complete branch.

If using the complete branch, replace the values in movie-rating-classifier/api/_env.js with your values from your DataRobot installation.

  • Run vercel to deploy
  • Run vercel dev to run locally (but you need to deploy it once first)

Repository Contents

Development and Contributing

If you'd like to report an issue or bug, suggest improvements, or contribute code to this project, please refer to CONTRIBUTING.md.

Code of Conduct

This project has adopted the Contributor Covenant for its Code of Conduct. See CODE_OF_CONDUCT.md to read it in full.

License

Licensed under the Apache License 2.0. See LICENSE to read it in full.

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