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dsh-correlation

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-correlation

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-correlation in DeepSeek Harness to install this plugin; the full source repository is at https://github.com/uckkk/dsh-correlation.

About this plugin

Quantifying how variables correlate with one another is a routine yet essential statistical step in model inference and data-pipeline design. dsh-correlation wraps this computation into a pure Node.js module with zero network requests and zero external services, letting you fold correlation analysis directly into a local workflow without spinning up Python, R, or a remote API.

Every calculation runs inside the process with no HTTP calls at all. That makes it a natural fit for CLI tools, CI pipelines, and offline inference scripts, where it can serve as a lightweight stage for feature screening, collinearity checks, or data-quality validation — all without pulling in a heavyweight runtime dependency for a single numeric task.

It is built for Node.js developers assembling lean inference pipelines who need fast, local correlation checks, and for maintainers who prefer to keep their dependency tree slim. The MIT license lets you embed it freely in commercial or open-source projects and adapt it to your specific requirements.

Use Cases

  • Quickly checking feature correlation in local inference scripts
  • Data-quality validation stage in CI pipelines
  • Screening for collinearity without any external service

Best For

  • Node.js developers building lean inference pipelines
  • Maintainers who prefer a slim dependency tree
  • CLI tool authors needing offline statistical analysis