API Overview

Modules

• great
• great_dataset
• great_start
• great_trainer
• great_utils
• metrics

Classes

• great.GReaT: GReaT Class
• great_dataset.GReaTDataCollator: GReaT Data Collator
• great_dataset.GReaTDataset: GReaT Dataset
• great_start.CategoricalStart: Categorical Starting Feature
• great_start.ContinuousStart: Continuous Starting Feature
• great_start.GReaTStart: Abstract super class GReaT Start
• great_start.RandomStart: Random Starting Features
• great_trainer.GReaTTrainer: GReaT Trainer

Metrics

• metrics.BaseMetric: Abstract base class for all metrics
• metrics.ColumnShapes: Per-column distribution similarity
• metrics.ColumnPairTrends: Pairwise correlation preservation
• metrics.BasicStatistics: Summary statistics comparison
• metrics.DiscriminatorMetric: Real vs synthetic classifier
• metrics.MLEfficiency: Train on synthetic, test on real
• metrics.DistanceToClosestRecord: Distance to nearest real record
• metrics.kAnonymization: k-Anonymity evaluation
• metrics.lDiversity: Sensitive attribute diversity
• metrics.IdentifiabilityScore: Re-identification risk
• metrics.DeltaPresence: Presence disclosure risk
• metrics.MembershipInference: Membership inference attack risk

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