echo -e " BATCH_SIZE=64 Optional. Sets the batch size to train the model with." >&2;
echo -e " DIRPATH_RAINFALLWATER The path to the directory the .tfrecord files containing the rainfall radar / water depth data." >&2;
echo -e " PATH_HEIGHTMAP The path to the heightmap jsonl file to read in." >&2;
# echo -e " PATH_COLOURMAP The path to the colourmap for predictive purposes." >&2;
echo -e " CHANNELS=8 The number of channels the input data has." >&2;
echo -e " WINDOW_SIZE=33 The window size to use when convolving the input dataset for single pixel prediction." >&2;
echo -e " STEPS_PER_EPOCH The number of steps to consider an epoch. Defaults to None, which means use the entire dataset." >&2;
echo -e " EPOCHS=25 The number of epochs to train for." >&2;
# echo -e " NO_REMOVE_ISOLATED_PIXELS Set to any value to avoid the engine from removing isolated pixels - that is, water pixels with no other surrounding pixels, either side to side to diagonally." >&2;
# echo -e " PATH_CHECKPOINT The path to a checkcpoint to load. If specified, a model will be loaded instead of being trained." >&2;
# echo -e " LEARNING_RATE The learning rate to use. Default: 0.001." >&2;
# echo -e " PREDICT_COUNT The number of items from the (SCRAMBLED) dataset to make a prediction for." >&2;
echo -e " POSTFIX Postfix to append to the output dir (auto calculated)." >&2;
echo -e " ARGS Optional. Any additional arguments to pass to the python program." >&2;
echo -e "" >&2;
echo -e "It is strongly advised that all filepaths do NOT contain spaces." >&2;