Factorization Machine models in PyTorch
This package provides a PyTorch implementation of Deep Factorization Machine ;odels and common datasets in Retail Recommendation.
Available Datasets
Available Models
Environment
conda env create -f environment_conda.yml
source activate environment_conda
Installation
pip install deep-rec
Example
python main.py --device cpu --epoch 2
API Documentation
https://rixwew.github.io/deep-rec (en construcción)
Licence
MIT
Metadata
Release files for deep-rec 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| deep_rec-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for deep_rec-0.0.5-py3-none-any.whl |
Total release size: 14.8 kB
Release files / deep-rec-0.0.5.tar.gz
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Release files / deep_rec-0.0.5-py3-none-any.whl
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