Create main.py

projects/DAPIO/data-processing/main.py

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+import pandas as pd
+from data_processing.preprocessing.data_cleaner import DataCleaner
+from data_processing.preprocessing.data_transformer import DataTransformer
+from machine_learning.model_trainer import ModelTrainer
+from data_storage.data_loader import DataLoader
+from data_storage.data_saver import DataSaver
+
+def main():
+    # Load data from database
+    db_url = "postgresql://user:password@host:port/dbname"
+    data_loader = DataLoader(db_url)
+    data = data_loader.load_data("my_table")
+
+    # Preprocess data
+    data_cleaner = DataCleaner(data)
+    data = data_cleaner.preprocess_data()
+
+    data_transformer = DataTransformer(data)
+    data = data_transformer.transform_data()
+
+    # Train model
+    target = "target_column"
+    model_trainer = ModelTrainer(data, target)
+    model = model_trainer.train_model()
+
+    # Evaluate model
+    model_trainer.evaluate_model(model)
+
+    # Save data and model
+    data_saver = DataSaver(data, model)
+    data_saver.save_data("preprocessed_data.csv")
+    data_saver.save_model("trained_model.joblib")
+
+if __name__ == "__main__":
+    main()