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A newer version of the Gradio SDK is available:
4.44.0
metadata
title: DALI ML Challenge
emoji: 📚
colorFrom: red
colorTo: indigo
sdk: gradio
sdk_version: 4.27.0
app_file: app.py
pinned: false
DALI ML Challenge Deployment
Deployment of profit prediction models for the DALI Machine Learning Challenge. I deployed the best performing Logistic Regression, SVM, and XGBoost models I generated. I also generate shapley values for each entry the user inputs to offer greater interpretability to model predictions.
Files:
- app.py: App file. A copy of the interface I defined in the profit prediction notebook
- Log_Reg.pkl: Serialized copy of the best-performing logistic regression model
- SVM.pkl: Serialized copy of the best-performing SVM model
- XGB.model: Serialized copy of the best-performing XGB model
- Superstore.csv: Dev challenge dataset (needed to generate Shapley values)