{
 "schema_version": 1,
 "generated": "2026-11-01",
 "id": "rucaibox-recbole--tune-recommender-hyperparameters-with-recbole",
 "repo": "RUCAIBox/RecBole",
 "repo_url": "https://github.com/RUCAIBox/RecBole",
 "repo_slug": "rucaibox-recbole",
 "title": "Auto-tune recommender hyperparameters",
 "page_title": "How to auto-tune recommender hyperparameters with Rec Bole",
 "summary": "Describe a search space in hyper.test and let run_hyper.py find the best settings.",
 "who": "An engineer who wants a fair, tuned baseline before shipping a model.",
 "problem": "Hand tuning learning rate and embedding size is slow and biased.",
 "outcome": "The best parameter set found for a model and dataset, with its results.",
 "steps": [
  "Open hyper.test and set ranges, for example learning_rate loguniform -8, 0 and embedding_size choice [64, 96 , 128]",
  "Run `python run_hyper.py --model=BPR --dataset=ml-100k --config_files=test.yaml --params_file=hyper.test`",
  "Leave out the config file if you have no custom settings, since it is optional",
  "Read the best parameters and result from the output"
 ],
 "agent_prompt": "Using RUCAIBox/RecBole, write a hyper.test search space for <my model>, run run_hyper.py on <my dataset>, and report the best parameters and their score.",
 "agents": [
  "claude-code",
  "codex",
  "cursor",
  "gemini-cli"
 ],
 "difficulty": "Intermediate",
 "time": "2 hours",
 "basis": "readme",
 "caveat": "The README warns that tuning may take a long time to output the best hyperparameters.",
 "category": "Data and analytics",
 "tags": [
  "Data and analytics"
 ],
 "lang": "",
 "requirements": [
  "Python 3.7 or later and torch 1.7.0 or later",
  "Install with `pip install recbole` or `conda install -c aibox recbole`, or from source to get the scripts",
  "Optional: CUDA 9.2 or later for GPU training"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/rucaibox-recbole/tune-recommender-hyperparameters-with-recbole/",
 "md": "https://dedupedai.com/use-cases/rucaibox-recbole/tune-recommender-hyperparameters-with-recbole/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/rucaibox-recbole--tune-recommender-hyperparameters-with-recbole.json",
 "api_version": "v1"
}