Module: main.py
Example of a Classification Pipeline for Tabular Data
This script demonstrates the complete modeling pipeline for tabular data classification, from data loading and preparation to model training and evaluation.
Functions
from data_preparation import load_and_prepare_data
from train_and_evaluate import train_and_evaluate
from config import MODEL_TYPE
def main():
"""
Main function to run the classification pipeline.
"""
# Load the data
filepath = "your_data.csv"
X_train, X_test, y_train, y_test = load_and_prepare_data(filepath)
# Train and evaluate the model
model, evaluation_results = train_and_evaluate(X_train, X_test, y_train, y_test, MODEL_TYPE)
# Optionally save the model or process results
print("Pipeline completed.")
if __name__ == "__main__":
main()