Once initiated, ewsnet_predict will accept a vector timeseries (note no time sequence is required) alongside the model weights to use. These model weights are subset based on scaling (scaled vs unscaled) and the number of models to average over (ensemble). We recommend using scaled weights averaged over the maximum ensemble size (25) for most robust predictions.