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Add hotel stay cost forecasting example using Prophet #2666
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Add hotel stay cost forecasting example using Prophet #2666
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Hi @akhil0404-tech! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at cla@meta.com. Thanks! |
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Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
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Hi @facebook/prophet-maintainers , I’ve completed the CLA and submitted a new forecasting example for hotel stay cost prediction using Prophet (PR #2666). Would love your review whenever you get a chance. Really excited to contribute to this amazing project! : ) Thanks a lot in advance! |
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Hi @facebook-github-bot , CLA is signed and validated. Kindly requesting a review from the maintainers when convenient. Thank you! |
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Hi @bletham, @tcuongd, and @seanjtaylor, I’ve submitted this pull request to add an example for hotel stay cost forecasting using Prophet. This example demonstrates how Prophet can be used in practical time series forecasting scenarios. Could you please review this PR when you have some time? Let me know if there are any improvements or changes needed. Thank you for your time and feedback! Best regards, |
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This PR adds a real-world example on Hotel Stay Cost Forecasting to the
Please take a look whenever you get a chance. Happy to make any revisions if needed. Thanks again for maintaining such an impactful library! Best, |
Summary
This PR introduces a real-world forecasting example that predicts hotel stay costs using the Prophet library. The example includes a notebook with seasonal effects, holiday regressors, and evaluation metrics, along with interactivity via ipywidgets.
Files Added
examples/HotelStayCostForecasting/notebook.ipynb: Full forecasting workflowexamples/HotelStayCostForecasting/README.md: Overview and setupexamples/HotelStayCostForecasting/hotel_stay_costs.csv: Example datasetexamples/HotelStayCostForecasting/visuals/: Visual outputFeatures Demonstrated
prophet_model.pkl)Why It’s Useful
This example adds a real-world use case (hospitality sector) to Prophet’s examples. It can help users understand how to apply Prophet to pricing, logistics, and demand forecasting problems.
Author: Akhil Chatla
LinkedIn: https://www.linkedin.com/in/akhil-chatla-07847b1a7