class_thresholds        Per-class confidence thresholds
confident_joint         The confident joint
estimate_joint          Estimate the joint distribution of given and
                        true labels
find_label_issues       Find examples with likely label errors
health_summary          Summarise label health by class
label_inputs            Standardise labels and predicted probabilities
label_quality_scores    Label quality scores
noise_matrices          Noise transition matrices and class priors
num_label_issues        Estimate the number of label errors
simulate_label_noise    Simulate a classification dataset with label
                        errors
