This repository stores a model artifact used by the credit-score predictor project.
The artifact is published as-is for reproducibility and deployment.
This model is intended for experimentation and educational workflows around credit-risk and related tabular tasks.
Validate data schema, preprocessing, calibration, and fairness before any production or decision-support usage.
1from pathlib import Path
2import joblib
3
4artifact = Path('autoencoder_meta.joblib')
5model = joblib.load(artifact)
6print(type(model))