Table 8 Training and inference time summary for all models.

From: Bayesian model averaging based deep learning forecasts of inpatient bed occupancy in mental health facilities

Model

Training time (minutes)

Inference time per weekly forecast (s)

Avg. total forecast time (s)

TDNN-RS

\(\sim\)8

0.5

0.5

TDNN-GS

\(\sim\)12

0.6

0.6

RNN-RS

\(\sim\)14

0.8

0.8

RNN-GS

\(\sim\)20

0.9

0.9

GRU-RS

\(\sim\)16

0.9

0.9

GRU-GS

\(\sim\)22

1.0

1.0

LSTM-RS

\(\sim\)18

1.1

1.1

LSTM-GS

\(\sim\)25

1.2

1.2

BiGRU-RS

\(\sim\)20

1.1

1.1

BiGRU-GS

\(\sim\)28

1.3

1.3

BiLSTM-RS

\(\sim\)24

1.3

1.3

BiLSTM-GS

\(\sim\)32

1.5

1.5

BMA-RS

\(\sim\)2.1

BMA-GS

\(\sim\)2.1