Hybrid-GP-For-University-Evaluation
Codes of building a hybrid GP model to do university evaluation forecasting.
Usage
- Clone this repo and also download the M4-Dataset and put them in the directory
./Dataset/
. - Use
conda install --file requirements.txt
to set up the environment. - Run the jupyter code.
main.ipynb
contains our model of predicting both M4-Dataset and academic evaluation indicator dataset. Andbenchmark.ipynb
contains the remaining benchmarks mentioned in our paper.
Note
For now we cannot provide the academic evaluation indicator dataset as it is from CNKI, which needs users to pay to obtain the data. One can contact the CNKI official for access of this data.
We also recommend users to convert main.ipynb
to main.py
and run it on the GPU servers.