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Adding colab notebook for XGBoost Regression and Classification #1316

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merged 3 commits into from
Oct 27, 2023

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@jineetd jineetd commented Oct 25, 2023

Example notebook added for XGBoost regression and classification.

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@xzdandy xzdandy added the AI Engines Features, Bugs, related to AI Engines label Oct 25, 2023
@xzdandy xzdandy added this to the v0.3.9 milestone Oct 25, 2023
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xzdandy commented Oct 25, 2023

Hi @jineetd, thanks for adding the notebook. After a second thought, given the regression is using the same dataset and we want user to only look at one notebook for regression and classification, I think it will be better for you to directly add the xgboost in to the existing https://github.com/georgia-tech-db/evadb/blob/staging/tutorials/17-home-rental-prediction.ipynb. We also want to compare the ludwig and xgboost to give some guidance on which model we should use. We can add the comparison and guidance in later PRs. Could you share with me the classification dataset you are using? We will add to a preloaded postgres instance to simplify the data load section.

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xzdandy commented Oct 27, 2023

For tutorials/19-employee-classification-prediction.ipynb, there is no output for the last several queries, could you run them?Thanks!

@xzdandy xzdandy merged commit 7c44d98 into georgia-tech-db:staging Oct 27, 2023
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