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from src.model import GraphformerModel
from pathlib import Path
from loguru import logger
class ModelTrainer:
def __init__(self, df, output_path, epochs=100,test_size=0.3):
self.df = df
self.output_path = output_path
self.epochs = epochs
self.test_size=test_size
# Create output directory
Path(self.output_path).mkdir(parents=True, exist_ok=True)
# Initialize the HeteroGraphormerModel
self.model = GraphformerModel(df=self.df, output_path=self.output_path, epochs=self.epochs,test_size=self.test_size)
logger.info(f"Initialized ModelTrainer with output_path: {self.output_path} and epochs: {self.epochs}")
def train_and_evaluate(self):
try:
logger.info("Starting model training and evaluation")
self.model.run_model()
logger.info("GraphformerModel training and evaluation completed successfully")
except Exception as e:
logger.error(f"Error during GraphformerModel training and evaluation: {e}")
raise
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