east-py-datascience

What problem does it solve?

The East Data Science Skill provides a unified toolkit for data science within East, enabling optimization, ML modeling, preprocessing, and explainability using a single interface.

Core Features & Use Cases

• MADS, Optuna, SimAnneal, ALNS for derivative-free, Bayesian, simulated annealing, and large neighborhood search optimization.
• Sklearn, Scipy, XGBoost, LightGBM, NGBoost, Torch, Lightning, GP, MAPIE, and Shap modules for ML, statistics, probabilistic modeling, and model explainability.
• Use cases include building objective functions in East, running optimizers, training models, applying conformal predictions, and generating SHAP explanations across supported models.

Quick Start

Define a tiny optimization problem with MADS or Optuna, run the optimizer, then train a small model with the East Py-DS bridge and generate SHAP explanations.