The issue with the dataset

ML4ITS / mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

MIT License

328 stars 76 forks source link

The issue with the dataset #33

Closed Dudududu15 closed 8 months ago

Dudududu15 commented 11 months ago

Hello! Thank you very much for your work. I have a question. If I'm working with multivariate time series data, for example, 800 timestamps with 10 features each, do I only need one .npy file? I would greatly appreciate it if you could answer my question.

axeloh commented 11 months ago

Hello :) One .npy file is enough, where the data in your example would have shape (800, 10).