Installation
About
A set of tools for forecasting the next step in a multidimensional setting using tensors. In the examples, a forecast is made of sea surface temperatures of a geographic grid (i.e. lat/long). Each observation is a matrix, the entries in the matrix and the sea surface temperature at a particular lattitude/longitude. Cates, J., Hoover, R. C., Caudle, K., Kopp, R., & Ozdemir, C. (2021) "Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting" in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 461-466), IEEE doi:10.1109/ICMLA52953.2021.00078.
Key Metrics
Downloads
Yesterday | 4 0% |
Last 7 days | 44 +19% |
Last 30 days | 128 +8% |
Last 90 days | 328 -34% |
Last 365 days | 1.139 |