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WenjieDu / SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Home Page:https://doi.org/10.1016/j.eswa.2023.119619

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pd.concat

lidamsoukaina opened this issue · comments

commented

FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

commented

Hi there,

Thank you so much for your attention to SAITS! If you find SAITS is helpful to your work, please star⭐️ this repository. Your star is your recognition, which can let others notice SAITS. It matters and is definitely a kind of contribution.

I have received your message and will respond ASAP. Thank you again for your patience! 😃

Best,
Wenjie

commented

Right, I noticed this warning while building PyPOTS. I didn't update the code in this repo because the versions of the dependencies are fixed in conda_env_dependencies.yml so I thought it wouldn't be a problem. Considering users may copy and use the code in their own dev env, the warning you point out here can possibly cause problems in the future. I'm going to create a PR to help solve this issue. I will reference the PR here and invite you to review the code. Thank you very much for your contribution, Soukaina! 👍

commented

PR #13 has been created. @lidamsoukaina Please review the code. 😊