Scripts -- ml-feature-engineering
Bundled utility scripts for the consolidated ML Feature Engineering skill.
Pipeline Automation (from automl-pipeline-builder-2)
- data_validation.py -- Validate input data quality before pipeline execution.
- model_evaluation.py -- Evaluate trained model performance and generate reports.
- pipeline_deployment.py -- Deploy a trained pipeline with rollback support.
Feature Engineering (from machine-learning-feature-engineering-toolkit)
- feature_engineering_pipeline.py -- End-to-end feature engineering process.
- feature_importance_analyzer.py -- Analyse feature importance (permutation, SHAP, tree-based).
- data_visualizer.py -- Visualise feature distributions and target relationships.
- feature_store_integration.py -- Integrate with feature stores (Feast, Tecton).
Usage
All scripts accept --help for argument documentation:
python scripts/data_validation.py --help
python scripts/feature_importance_analyzer.py --help