Can I use neural networks with this skill?

Yes, the skill provides modules for Torch MLP and PyTorch Lightning, supporting architectures like autoencoders, LSTMs, and Transformers.

Does this skill support hyperparameter tuning?

Yes, it includes the Optuna module for Bayesian optimization and MADS for derivative-free blackbox optimization.

Is there support for data splitting and validation?

Yes, the Sklearn module provides functions for train/test/validation splitting, stratified sampling, and comprehensive metric calculations.

What is the East language in this context?

East is a specialized language using TypeScript types designed for high-performance algorithmic programming, which this skill enhances with Python-backed data science functions.

How does it handle model interpretability?

It integrates SHAP (SHapley Additive exPlanations) to provide feature importance and explainability for various models, including gradient boosting and neural networks.

East Data Science & ML

Name: East Data Science & ML
Author: elaraai

byelaraai

0•

데이터 과학 및 ML

Integrates comprehensive machine learning, optimization, and statistical functions into the East programming language.

The East Data Science skill provides a powerful suite of data science and machine learning capabilities for developers working in the East language. It streamlines the implementation of complex algorithms including gradient boosting (XGBoost, LightGBM), Bayesian optimization (Optuna), and neural networks (Torch, Lightning). By providing domain-specific guidance and TypeScript-compatible types, it enables the creation of optimized programs that handle everything from data preprocessing with Sklearn to model explainability with SHAP and uncertainty quantification with MAPIE.

주요 기능

01Advanced optimization tools for derivative-free, Bayesian, and combinatorial tasks

02Comprehensive preprocessing and metrics utilities powered by Scikit-learn

03Advanced explainability and conformal prediction with SHAP and MAPIE

040 GitHub stars

05Robust neural network support via Torch MLP and PyTorch Lightning architectures

06High-performance ML algorithms including XGBoost, LightGBM, and NGBoost

사용 사례

01Building and deploying predictive models with integrated preprocessing and evaluation

02Optimizing complex system parameters using derivative-free or Bayesian techniques

03Generating explainable AI insights and prediction intervals for production applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add elaraai/east-plugin east-py-datascience

For use in Claude.ai and ChatGPT

Download Skill