dsh-covariance
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-covariance
Paste the following prompt into your AI chat to install this plugin:
Install the plugin in DeepSeek Harness by running dsh plugin install uckkk/dsh-covariance; the source is available at https://github.com/uckkk/dsh-covariance
About this plugin
Computing a covariance matrix is a critical step in many model inference pipelines, especially when assessing input distributions or sampling quality. Yet a number of existing solutions depend on external services or extra network calls, injecting unnecessary latency and operational complexity into the chain.
dsh-covariance turns that computation into a single, fully local Node.js call. There are no HTTP requests and no external dependency processes: data flows from input to result entirely within the process, making it a natural fit for inference workloads that demand low latency or offline operation.
If you are building a local inference service, passing distribution statistics between nodes, or simply want to remove the uncertainty introduced by a network layer, this plugin keeps covariance computation as straightforward as it gets.
Use Cases
- Computing input feature covariance matrices in real-time inference pipelines
- Extracting multivariate distribution statistics in offline environments for sampling
- Passing covariance data between inference nodes within a single process
Best For
- Developers building local model inference services
- Algorithm engineers requiring offline covariance computation
- System architects pursuing low-latency inference pipelines
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