Machine Learning Prediction Auditing and Model Card Reporting

Documentation for package ‘modelcardr’ version 0.1.0

.audit_binary_predictions	Audit predictions from a completed model
add_data_description	Add data documentation
add_limitations	Add known limitations
add_purpose	Add intended-use information
audit_assumptions	Run model-specific diagnostic checks
audit_fairness	Audit subgroup performance and fairness
audit_performance	Calculate model performance
audit_predictions	Audit Predictions from a Completed Model
audit_requirements	Define prediction-audit requirements
check_requirements	Apply pass/fail requirements to a prediction audit
compare_cards	Compare two model cards
compare_predictions	Compare two sets of binary-classification predictions
model_card	Create a model card
model_card_from_predictions	Compatibility Interface for Prediction Audits
plot.model_audit	Plot a prediction audit
print.audit_requirements	Print audit requirements
print.model_audit	Print a prediction audit
print.model_card	Print a model card
print.prediction_comparison	Print a prediction comparison
render_audit	Render a Prediction Audit
render_card	Render a model card
summary.model_audit	Summarize a prediction audit
summary.model_card	Summarize a model card
validate_card	Validate model-card completeness