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Important Files Not on GitHub

Due to GitHub's file size limitations, some important files are stored locally only:

📊 Large Dataset Files (Not on GitHub)

  • dataset/train.csv (~50MB) - Main training dataset
  • dataset/test.csv (~25MB) - Test dataset for predictions

How to get them: These are the original competition datasets. Download from the source or contact repository owner.

🖼️ Downloaded Images (Not on GitHub)

  • image_cache/*.jpg (2,183 files, ~500MB total) - Product images for computer vision
  • Only image_cache/image_features.json is included (metadata)

How to get them: Run the download script:

python scripts/download_computer_vision_images.py

✅ What IS on GitHub

  • ✅ All Python code and models
  • ✅ Best model predictions (results/test_out_meta_learning.csv)
  • ✅ Image metadata (image_cache/image_features.json)
  • ✅ Sample datasets for testing
  • ✅ Complete documentation
  • ✅ All requirements and setup files

🚀 Quick Setup After Cloning

git clone https://github.com/abbinavv/AmazonML.git
cd AmazonML
python -m venv .venv
source .venv/bin/activate  # (.venv\Scripts\activate on Windows)
pip install -r requirements.txt

# Optional: Download images for computer vision
python scripts/download_computer_vision_images.py

📈 Best Results Available

The repository includes the best model predictions (50.12% SMAPE) in:

  • results/test_out_meta_learning.csv - Meta-learning model (best)
  • results/test_out_neural_enhanced.csv - Neural enhanced model