Benson is the powerhouse behind Phil, the advanced imputation engine designed to intelligently handle missing data in complex datasets. Whether you're dealing with high-dimensional gaps, inconsistent encodings, or stubborn anomalies, Benson ensures your data gets the cleanup it deserves—efficiently and at scale.
🔥 Capabilities
• Phil 🧩: PHIL: a Progressive High-Dimensional Imputation Lab.
👉 Phil is an advanced data imputation tool that combines scikit-learn's IterativeImputer with topological methods to generate and analyze multiple versions of a dataset. It allows users to impute missing data using various techniques, generate representations of imputed datasets, and democratically select a representative version. It also comes equipped with a transformer, PhilTransformer that is designed to seamlessly integrate with scikit-learn pipelines. By implementing the transformer API, it allows users to incorporate advanced imputation techniques directly into their machine learning workflows, ensuring a smooth and efficient data preprocessing experience.
📦 Installation
pip install benson
🚀 Coming Soon
• Bob 🛠️: A structured data repair module that cleans, normalizes, and reconciles inconsistencies in your datasets.
• AgentBenson 🤖: A seamless integration layer for popular agentic frameworks, enabling automated data cleaning and repair with minimal intervention.
Stay tuned for more updates as Benson continues to evolve!