| |
| """ |
| Pattern Recognizer AI Agent for Genome Logic Modeling Project |
| Responsible for identifying and analyzing patterns in genomic logic |
| """ |
|
|
| import logging |
| from typing import Dict, List, Optional |
| import numpy as np |
| from sklearn.cluster import DBSCAN |
| from sklearn.preprocessing import StandardScaler |
|
|
| class PatternRecognizerAI: |
| def __init__(self, config: Optional[Dict] = None): |
| """Initialize the Pattern Recognizer AI agent.""" |
| self.config = config or {} |
| self.logger = logging.getLogger(__name__) |
| |
| def identify_patterns(self, data: np.ndarray) -> List[Dict]: |
| """Identify patterns in genomic data.""" |
| self.logger.info("Identifying patterns in genomic data") |
| |
| pass |
| |
| def analyze_pattern_significance(self, patterns: List[Dict]) -> List[Dict]: |
| """Analyze the statistical significance of identified patterns.""" |
| self.logger.info("Analyzing pattern significance") |
| |
| pass |
| |
| def cluster_patterns(self, patterns: List[Dict]) -> Dict: |
| """Cluster similar patterns together.""" |
| self.logger.info("Clustering patterns") |
| |
| pass |
|
|
| if __name__ == "__main__": |
| |
| logging.basicConfig(level=logging.INFO) |
| |
| |
| recognizer = PatternRecognizerAI() |
| |
