Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models

Table 1

Model hyperparameter choices or value ranges for optimization by keras tuner.

N°	Hyperparameters	Value Ranges			Choices	Default
		Min	Max	Step
1	MLP, LSTM, Bi-GRU+LSTM, or GRU layer 1 units	5	40	5
2	Dropout 1	0.0	0.3	0.1		0.2
3	MLP, LSTM, Bi-LSTM, or GRU layer 2 units	5	40	5
4	Learning rate				1e − 2, 1e − 3 or 1e − 4
5	Number of epochs	10	100	10
6	Number of batch sizes	10	100	10

Value ranges or choices for optimization by keras tunner: (objective = “test loss,” max trials = 20, executions per trial = 3). Not applicable.