rust-ml / rust-ml/linfa

Logging data in between algorithm iterations

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infrastructure
Dominant language
Rust
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Description

It'd be nice to have a way of logging information between each step when fitting an iterative algorithm for debugging purposes. For algorithms that use argmin we can simply call add_observer on Executor.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing the iterative algorithm implementations and the Executor integration described in the issue, then read Executor.add_observer for the existing observation path. Determine which algorithms need the facility and how completion is verified by observing information between fitting steps; the issue names no files or tests, so those entry points must be identified first.

Written by the indexing model from the issue text.

Assessment

Tech stack
rust
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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