CMP.7:7 - Conformance Checklist

• The future application, output type and relevant loss or gain are recoverable.
• Available examples and feedback match the operations the learner performs.
• The candidate family or other inductive restriction has a stated basis and boundary.
• Selection or update is effective, with tie, failure and stopping behavior specified.
• Obtaining, fit and further-use claims retain their distinct conditions.
• Statistical or online guarantees use the sampling, target and class assumptions they actually require.
• A contradictory or changed case leads to the relevant data, family, target or update revision rather than automatic extra training.