mcp-server-scikit-learn
If you are the rightful owner of mcp-server-scikit-learn and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets.
The mcp-server-scikit-learn is designed to facilitate seamless interaction with Scikit-learn models and datasets through a standardized protocol. It offers a comprehensive suite of features that cater to the entire lifecycle of a machine learning model, from training and evaluation to deployment and maintenance. The server supports various functionalities such as data preprocessing, feature engineering, model persistence, and evaluation metrics. It also provides tools for cross-validation and hyperparameter tuning, ensuring that models are optimized for performance. By integrating with the Model Context Protocol, this server allows for consistent and efficient management of machine learning workflows, making it an invaluable tool for data scientists and engineers working with Scikit-learn.
Features
- Train and evaluate Scikit-learn models
- Handle datasets and data preprocessing
- Model persistence and loading
- Feature engineering and selection
- Model evaluation metrics
