please refer to the report.pdf
If you have some questions, I would like to discuss~ ^_^ (tliang at ust dot hk)
The project consists of the following tasks:
- To implement PMF with maximum a posteriori (MAP) estimation according to the estimator interface of scikit-learn.
- To conduct empirical study to compare the performance of PMF by varying the number of latent factors K and the regularization hyperparameters λu and λv .
- To conduct empirical study to compare the performance of PMF on dense and sparse data.
command examples:
python prj3.py --docv --sparse
python prj3.py
python prj3.py --largeinput
python prj3.py --largeinput --docv