A tensor decomposition-based time series forecasting algorithm, which tactically incorporates the unique advantages of Hankelization, low-rank Tucker decomposition and ARIMA into a unified framework.
More details (including parameter settings) refer to the original paper.
Traffic dataset. The traffic data is originally collected from California department of transportation 1 and describes the road occupy rate of Los Angeles County highway network.We here use the same subset used in (Yu, Yin, and Zhu 2017) which selects 228 sensors randomly. And We take the first 40 time points of them as data of our demo
- python 3.5+
- python libraries
- tensorly
- scipy
- numpy
- pandas
python main.py© Contributors, 2019. Licensed under an MIT license.
