"""Machine learning models for NuroMind"""

from typing import Dict, Any, Optional


class AlzheimerClassifier:
    """Placeholder for Alzheimer's disease classifier"""
    
    def __init__(self, model_name: str = "default"):
        self.model_name = model_name
        self.is_trained = False
    
    def predict(self, data: Any) -> Dict[str, float]:
        """Make predictions (placeholder)"""
        return {
            "ad_probability": 0.0,
            "mild_cognitive_impairment": 0.0,
            "healthy": 1.0
        }


class MicrobiomeBrainAxis:
    """Placeholder for microbiome-brain axis analysis"""
    
    def __init__(self):
        self.components = ["microbiome", "metabolites", "neuroinflammation"]
    
    def analyze(self, microbiome_data: Any, brain_data: Any) -> Dict[str, Any]:
        """Analyze microbiome-brain interactions (placeholder)"""
        return {
            "correlation_score": 0.0,
            "key_microbes": [],
            "metabolic_pathways": [],
            "inflammation_markers": []
        }


def load_from_hub(model_id: str) -> Any:
    """Load model from HuggingFace Hub (placeholder)"""
    return {"model_id": model_id, "loaded": True}


__all__ = ["AlzheimerClassifier", "MicrobiomeBrainAxis", "load_from_hub"]
