Expand description
ML-readiness evaluation module.
Validates that generated data is suitable for machine learning tasks including feature distributions, label quality, and graph structure.
Structsยง
- Feature
Analysis - Results of feature analysis.
- Feature
Analyzer - Analyzer for feature distributions.
- Feature
Stats - Statistics for a single feature.
- Graph
Analysis - Results of graph analysis.
- Graph
Analyzer - Analyzer for graph structure.
- Graph
Metrics - Basic graph metrics.
- Label
Analysis - Results of label analysis.
- Label
Analyzer - Analyzer for label quality.
- Label
Distribution - Distribution for a single label class.
- MLReadiness
Evaluation - Combined ML-readiness evaluation results.
- Split
Analysis - Results of split analysis.
- Split
Analyzer - Analyzer for train/test splits.
- Split
Metrics - Metrics for a single split.