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dsh-poisson-pmf

Model Inference Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-poisson-pmf

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

Run dsh plugin install uckkk/dsh-poisson-pmf in the DeepSeek Harness terminal to install the Poisson PMF plugin sourced from https://github.com/uckkk/dsh-poisson-pmf.

About this plugin

In everyday model-inference and statistical-modelling work, the Poisson probability mass function is a small but frequently called calculation. Whether you are scoring discrete count outcomes, validating token-level statistics, or running a quick offline sanity check, you need a reliable P(X = k) in hand. dsh-poisson-pmf is built exactly for that: a pure Node.js implementation that returns the Poisson PMF for a given rate parameter and integer k, with no external statistical libraries or remote services required.

Every computation happens locally and there are zero network dependencies. That makes the plugin safe to drop into offline inference pipelines, edge-device scripts, or CI workflows without introducing a fragile HTTP hop. The MIT license keeps adoption straightforward even inside commercial projects.

The target scenario is deliberately narrow: you have a Node-based inference or post-processing script that occasionally needs a Poisson PMF, and you do not want to pull in a full statistics package for that single function. dsh-poisson-pmf is the just-enough tool for exactly this job.

Use Cases

  • Quickly computing Poisson PMF in offline inference scripts
  • Local validation of count distributions on edge devices
  • Lightweight statistical checks within CI pipelines

Best For

  • Node developers who need a lightweight Poisson PMF without a full stats library
  • Engineers building offline inference pipelines
  • Developers targeting edge or embedded environments with zero network tolerance