MULTIPAR: Supervised Irregular Tensor Factorization Framework with Multi-task Learning
By Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang and Sivasubramanium Bhavani 2021. Code for ``MULTIPAR: Supervised Irregular Tensor Factorization Framework with Multi-task Learnings". https://arxiv.org/abs/2208.00993
Before running the codes you need to install tensorflow https://www.tensorflow.org and pytorch https://pytorch.org/get-started/locally/ to run the code. you will also need to unzip the data file "extract3000.p".
Here is the lists of MULTIPAR files:
newweight.py: -main function of MULTIPAT, run this file.
models.py: -construct the PARAFAC2 model using EHRs.
utils.py: -util function using in MULTIPAR.
If you find any bug or error in the codes please send an email to: yifei.ren2@emory.edu