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Uses scoringutils to transform data and predictions using a log transform with a log shift of 1, and return the default scoring metrics

Usage

score_samples(draws, scenario, metrics = sample_metrics)

Arguments

draws

a dataframe of the model estimated quantity you are evaluating alongside the evaluation data

scenario

a string indicating the wastewater data scenario we're running

metrics

Vector of scoring metrics to output, passed as the metrics argument to scoringutils::score(). Default sample_metrics

Value

a dataframe containing a score for each day in the nowcast and forecast period