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This repository for the Worldquant predictive challenge 2020, which focuses on predicting the time series revenue of a store. I used docker to deploy this project.

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QuyNguyenALC/Worldquant-GRN-Predictive-Time-series

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Detail step to setup and run this project:

  1. Clone this project with command line: git clone https://github.com/QuyNguyenALC/Worldquant-GRN-Predictive-Time-series.git
  2. Make sure docker is installed in your computer
  3. Build image docker with: docker build -t docker-model -f Dockerfile .
  4. Run the reference.py to predict: docker run docker-model python3 inference.py Because the size of datafile, I've upload the sample of data. You can download full data of this project prior to replace datafolder here: https://drive.google.com/drive/folders/1ucFfOvkbI8OrBxL2zuM7XMSJok0KA4_E?usp=sharing

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This repository for the Worldquant predictive challenge 2020, which focuses on predicting the time series revenue of a store. I used docker to deploy this project.

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