Collect prediction uncertainty across POWERUP models. Models without prediction outputs, including models skipped during training, are omitted.
Arguments
- models
A list of model objects generated by fit_powerup_models and with predictions added using add_powerup_predictions.
Value
A data frame with samples in rows and perturbations in columns,
containing the prediction SD for each available sample-perturbation pair.
Examples
if (FALSE) { # \dontrun{
prediction_error <- summarize_error(my_models)
} # }
