How hemanth354/proj works
This repository is a minimal scaffold for an end-to-end ML project. Its file names suggest data ingestion, transformation, model training, and separate training and prediction pipelines, but the sampled implementations are empty; the README provides no further workflow details. Logging and custom exception formatting are implemented as runtime support. No component-to-component edges are shown because the available evidence does not establish calls, data flow, or dispatch between them.
Components 7
ML stages
- Data ingestion
src/components/data_ingestion.py - Data transformation
src/components/data_transformation.py - Model trainer
src/components/model_trainer.py
Pipelines
- Training pipeline
src/pipeline/train_pipeline.py - Prediction pipeline
src/pipeline/predict_pipeline.py
Runtime support
- Logging setup
src/logger.py - Custom exceptions
src/exception.py