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Validation Module - PAI Context

Quick Reference

Purpose: Validate parsed models and check structural integrity.

When to use this module:

  • Validate POMDP matrix dimensions
  • Check model consistency
  • Verify state-space properties

Common Operations

# Run validation
from validation.processor import ValidationProcessor
processor = ValidationProcessor(input_dir, output_dir)
results = processor.process(verbose=True)

Integration Points

Direction Module Data
Input gnn Parsed models
Output render Validated models

Key Files

  • processor.py - Main ValidationProcessor class
  • validator.py - Validation logic
  • __init__.py - Public API exports

Validation Checks

Check Description
Dimensions A, B, C, D matrix sizes
Probabilities Sum to 1, non-negative
Completeness All required fields present
Consistency Cross-matrix compatibility

Tips for AI Assistants

  1. Step 6: Validation is Step 6 of the pipeline
  2. Gates: Validation gates block bad models
  3. Output Location: output/6_validation_output/
  4. Errors: Returns detailed validation errors

Version: 1.1.3 | Step: 6 (Validation)