Two-stage model

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Read the existing ModelLike and Fit/Recommend interfaces to understand the compatibility requirement. The issue describes a pipeline covering candidate generation, target creation, negative sampling, feature collection, and reranker training, but names no files or tests. Done means implementing that two-stage pipeline while preserving the stated Fit/Recommend compatibility.

Written by the indexing model from the issue text.

Description

ModelLike pipeline with candidates generation, targets creation, sampling negatives, feature collection and reranker training.
Fully compatible with RecTools Fit/Recommend paradigm.

Dominant language
Python
Stars
457
Forks
55
No merged PRs in 30d

Getting set up

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.

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