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qualityA Model Context Protocol server that enables AI assistants to fetch and understand GitHub repository documentation on-demand from DeepWiki during conversations.
Last updated 6 months ago
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Scikit-learn is a free, open-source machine learning library for Python that provides simple and efficient tools for data analysis and modeling, including classification, regression, clustering, and dimensionality reduction algorithms.
Why this server?
Supports fetching documentation for scikit-learn as part of its repository search capabilities, referenced in the example results.
Why this server?
Offers scikit-learn documentation, machine learning examples, model training patterns, and data science best practices via Context7's API
Why this server?
Support for installing and using scikit-learn in Python containers as demonstrated in examples
Why this server?
Powers ML-based layout optimization features including DBSCAN and K-means clustering for component grouping, K-NN position prediction for component placement, and pattern learning for Grasshopper definitions.
Why this server?
Provides machine learning algorithms for anomaly detection, including OneClassSVM as mentioned in the example flow
Why this server?
Mentioned as an example package that can be installed and used in the isolated containers for machine learning tasks.
Why this server?
Used for machine learning utilities, particularly TF-IDF vectorization and cosine similarity for document search functionality.
Why this server?
Incorporates scikit-learn for machine learning utilities, including the TF-IDF model implementation for traditional text analysis.
Why this server?
Mentioned as an optional enhancement for implementing machine learning models to replace random predictions with historical yield analysis and portfolio optimization