--- title: recohut keywords: fastai sidebar: home_sidebar nb_path: "nbs/index.ipynb" ---
a python library for building recommender systems.
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To get a local copy up and running follow these simple example steps.
pip install torch
pip install recohut
# import the required modules
import recohut
from recohut.datasets import MovieLens
from recohut.models import MatrixFactorization
# define the data and model
data = MovieLens(version='100k', download=True)
model = MatrixFactorization()
# train the matrix factorization model
model.train(data)
# evaluate the model
model.evaluate(metrics=['MRR','HR'])
For more examples, please refer to the Documentation and Tutorials.
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
git checkout -b feature/AmazingFeature
)git commit -m 'Add some AmazingFeature'
)git push origin feature/AmazingFeature
)Distributed under the MIT License. See LICENSE.txt
for more information.
Your Name - Sparsh A.
Project Link: https://github.com/RecoHut-Projects/recohut