Which metadata fields are checked during the audit?

It validates required fields like schema_version, name, version, provider, and capabilities as defined in the ADR-006 specification.

Why does the audit flag certain top-level imports?

To optimize performance, the auditor flags eager imports of heavy libraries like Matplotlib or Pandas, recommending lazy loading within specific function bodies instead.

Does it support non-tabular data modalities?

Yes, it verifies ADR-033 compliance, ensuring that data_modalities and plugin_api_version are correctly defined for image, text, audio, and time-series plugins.

What happens if a plugin violates the ADR-001 boundary?

The audit will fail and report the violation, as plugins are prohibited from importing core implementation details to prevent fragile dependencies and maintain a clean API boundary.

What is the primary goal of the CE Plugin Auditor?

It ensures that plugins for the Calibrated Explanations library follow strict architectural and metadata standards to maintain reliability and performance in model interpretability tasks.

CE Plugin Auditor

Name: CE Plugin Auditor
Author: Moffran

byMoffran

•

Ciencia de Datos y ML

Audits Calibrated Explanations (CE) plugin implementations to ensure compliance with registry trust rules, metadata standards, and ADR requirements.

The CE Plugin Auditor is a specialized diagnostic tool designed for developers building extensions for the Calibrated Explanations (CE) framework. It automates the verification of plugin metadata, protocol adherence for interval calibrators, and architectural boundaries to ensure stability and reliability across the ecosystem. By running comprehensive checks against Architectural Decision Records (ADRs), it identifies non-conformant code, silent failures, and performance bottlenecks like eager imports, providing a structured report to facilitate seamless integration and trust within the CE registry.

Características Principales

01Enforces ADR-013 protocol compliance for interval calibrator logic and shapes

02Audits fallback visibility and lazy loading of heavy dependencies like Matplotlib

0375 GitHub stars

04Validates plugin_meta against ADR-006 standards for registry trust

05Detects illegal core boundary imports to maintain ADR-001 architecture

06Verifies capability tag implementation for classification and regression tasks

Casos de Uso

01Debugging non-conforming behavior in existing explanation or plotting plugins

02Verifying a new custom calibrator plugin before submission to the CE registry

03Ensuring third-party plugins adhere to the latest architectural decision records and modality contracts

Características Principales

01Enforces ADR-013 protocol compliance for interval calibrator logic and shapes

02Audits fallback visibility and lazy loading of heavy dependencies like Matplotlib

0375 GitHub stars

04Validates plugin_meta against ADR-006 standards for registry trust

05Detects illegal core boundary imports to maintain ADR-001 architecture

06Verifies capability tag implementation for classification and regression tasks

Casos de Uso

01Debugging non-conforming behavior in existing explanation or plotting plugins

02Verifying a new custom calibrator plugin before submission to the CE registry

03Ensuring third-party plugins adhere to the latest architectural decision records and modality contracts