seq2seq-time ============================== Using sequence to sequence interfaces for timeseries regression
BaselineLast RANP LSTM LSTMSeq2Seq TransformerSeq2Seq TransformerProcess
IMOSCurrentsVel 1.63 23.31 19.44 14.52 46.98 7.35
BejingPM25 1.71 1.48 1.41 1.39 2.86 1.44
GasSensor 1.88 -2.24 16.40 -1.53 NaN 0.63
AppliancesEnergyPrediction 1.56 1.31 1.94 1.57 2.33 1.08
MetroInterstateTraffic 1.76 -0.27 -0.17 -0.25 4.15 -0.27
Project Organization ------------ ├── LICENSE ├── Makefile <- Makefile with commands like `make data` or `make train` ├── README.md <- The top-level README for developers using this project. ├── data │   ├── interim <- Intermediate data that has been transformed. │   ├── processed <- The final, canonical data sets for modeling. │   └── raw <- The original, immutable data dump. │ ├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering), │ the creator's initials, and a short `-` delimited description, e.g. │ `1.0-jqp-initial-data-exploratio │ │ ├── reports <- Generated analysis as HTML, PDF, LaTeX, etc. │   └── figures <- Generated graphics and figures to be used in reporting │ ├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g. │ generated with `pip freeze > requirements.txt` │ ├── setup.py <- makes project pip installable (pip install -e .) so src can be imported ├── seq2seq_time <- Source code for use in this project. │ └── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io --------

Project based on the cookiecutter data science project template. #cookiecutterdatascience