estimate-online-covariance
CommunityEstimate real-time covariance matrices incrementally with precise
Data & Analytics#statistics#real-time data processing#online learning#covariance estimation#incremental analytics
Authormicroprediction
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill unit allows for the dynamic and incremental estimation of covariance matrices as new data arrives, streamlining the process for those dealing with data that arrives in a continuous stream.
Core Features & Use Cases
- Incremental Estimation: Update covariance matrices per observation without requiring large batches of data.
- Real-time Analytics: Utilize the Skill to continuously monitor and adjust statistical models as new data emerges.
- Use Case: For financial traders monitoring market data, the Skill can compute covariance matrices of price movements in real-time, enabling faster decisions and adjustments to trading strategies.
Quick Start
Run the estimate-online-covariance skill and pass your time series data as follows: est.partial_fit(y), where y represents each observation as a 1D array.
Dependency Matrix
Required Modules
numpy
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: estimate-online-covariance Download link: https://github.com/microprediction/precise/archive/main.zip#estimate-online-covariance Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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