Silas Model Audit

The Silas Model Audit feature allows the user to specify certain constraints, criteria, requirements or specifications using logic and verify that the machine learning model is compliant with the user’s specifications. This features has two functionalities: model verification and enforcement learning. The former is formally verifies machine learning models against user specifications. The latter enforces user specifications in the learning process in order to generate compliant models.

Contents:

• Verifying Models
  • User Specifications
  • Verifying The Model Against User Specifications
• Enforcement Learning