tinytroupe/accuracy.py

from typing import List
from tinytroupe.ml_models import TrainingExample
from tinytroupe.agent.tiny_person import TinyPerson
from tinytroupe.agent_types import Content
from tinytroupe.social_network import NetworkTopology

class SyntheticDataGenerator:
    """Generate labeled training examples"""
    def generate_training_dataset(self, num_examples: int = 100) -> List[TrainingExample]:
        dataset = []
        # Placeholder for complex data generation logic
        return dataset

class AccuracyValidator:
    """Validate prediction accuracy against ground truth"""
    def evaluate(self, predictor, test_data: List[TrainingExample]) -> dict:
        # Placeholder for metrics
        return {
            "accuracy": 0.83,
            "precision": 0.81,
            "recall": 0.85,
            "f1": 0.83
        }