Dependencies:
- Python 3
- TensorFlow 1.x
- NumPy
- Pandas
- numpy-quaternion
- Matplotlib
- Seaborn

To create the training dataset run from this directory:

    > python scripts/rice_dataset.py data/strikes

To train the model run:

    > python scripts/rice_train.py experiment.yaml

When the program ends, the results from the training will be found in `output/experiment_<timestamp>`.
Within that directory, `result` contains multiple evaluation figures for the train, test and validation data.
Under `tflogs` there are log files that can be visualised with TensorBoard.
