Yasai Product Recommendation Model
This model provides product recommendations for Yasai (vegetable) products using FT-Transformer architecture.
Model Information
- Architecture: FT-Transformer
- Training Epochs: 77
- Validation Performance: 0.6708
- Input Features: Categorical features
- Output: Product recommendations
Usage
from inference import load_model, predict
# Load the model
model = load_model()
# Make predictions
predictions = predict(model, input_data)
Files
epoch_077_p30_0.6708.pt: Trained PyTorch model (Git LFS)yasai_product_master_data.csv: Product master dataencoders/: JSON-encoded feature encodersconfigs/config.json: Model configuration
License
Apache-2.0
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