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seq2seq-time

Using sequence to sequence interfaces for timeseries regression

  <th>MetroInterstateTraffic</th>
  <td>1.76</td>
  <td>-0.27</td>
  <td>-0.17</td>
  <td>-0.25</td>
  <td>4.15</td>
  <td>-0.27</td>
</tr>
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

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

S
Description
Bechmarking seq2seq models on a range of multivariate regression datasets
Readme MIT 10 MiB
Languages
Jupyter Notebook 99.3%
Python 0.7%