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Phase 3.3: Evaluation & Metrics - Completion Report
Phase 3.3 implements comprehensive evaluation metrics and validation tools for DLM coordinates. This phase provides the infrastructure to measure coordinate quality, validate predictions, and track training progress.
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**Status:** ✅ COMPLETE **Date:** 2025-12-08 **Integration Point:** Week 3, Phase 3.3
Phase 3.3 implements comprehensive evaluation metrics and validation tools for DLM coordinates. This phase provides the infrastructure to measure coordinate quality, validate predictions, and track training progress.
#### 1. **Metrics Module** ([packages/dlm/evaluation/metrics.py](packages/dlm/evaluation/metrics.py)) - 450+ lines
##### `CoordinateMetrics` Comprehensive metrics container for coordinate quality.
**Features:** - ✅ Accuracy metrics (MAE, RMSE, max error) - ✅ Per-dimension errors (x, y, z, t) - ✅ Consistency metrics (depth, sibling, temporal) - ✅ Coverage metrics (coordinates, embeddings) - ✅ Distribution statistics (ranges, means, std) - ✅ Export to dictionary
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