estimate-online-covariance
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
Enables agents to search and retrieve Japanese government open data on real estate transactions, public procurement, and e-Stat statistics through the mcp.n-3.ai MCP server.
日本の行政オープンデータにアクセスする。不動産取引価格(国交省)、官公需・入札情報、e-Stat政府統計の3つのデータソースを検索・取得できる。「不動産価格を調べて」「入札情報を検索」「政府統計を取得」「官公需で○○を探して」「地価を調べて」「統計データ」などで使用。MCP server (mcp.n-3.ai) 経由でリアルタイムにデータ取得する。
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
Enables Python agents to update, assess, compare, and select online covariance, correlation, and precision estimators for streaming or dynamic-universe data.
Wraps positional online covariance estimators to process keyed observations whose named series can remain fixed or change dynamically over time.
Recommends covariance estimator classes for a 2-D dataset using dimension, conditioning, rank, correlation, and tail-behavior features, and exposes those features for inspection.
Guides an AI agent through end-to-end Kaggle competitions, including validation, modeling, OOF predictions, ensembling, remote notebook pipelines, artifact handoffs, submission sc…
Analyzes e-commerce reviews using 22-dimension AI tagging to extract customer profiles, pain points, VOC, product opportunities, anomaly signals, reports, dashboards, and optional…
Queries Open Library's public catalog for books, authors, works, editions, ISBNs, ratings, and cover URLs through a keyless Python CLI.
Assesses, designs, and evolves data architectures through workload analysis, platform and modeling tradeoffs, governance, data products, data mesh, event-driven flows, and migrati…