parallel-grid-search SKILL.md skillA
parallel-grid-search from cxcscmu/skilllearnbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cxcscmu/skilllearnbench/parallel-grid-search@git:20260424.d50cf5aPins git:20260424.d50cf5a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cxcscmu/skilllearnbench
- Path
skills/b1-one-shot-claude-haiku-4-5/dbscan-parameter-tuning/parallel-grid-search/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260424.d50cf5a, committed Apr 24, 2026
- Size
- 3,524 bytes
- Repository stars
- 91
- License
- MIT
Parallelize hyperparameter grid search using joblib for efficient multi-core execution.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Parallel Grid Search
## Overview
Use joblib to parallelize expensive computations across multiple CPU cores, significantly speeding up grid search over hyperparameter combinations.
## Installation
```bash
pip install joblib scikit-learn
```
## Basic Pattern
```python
from joblib import Parallel, delayed
import itertools
def evaluate_hyperparams(hp_combination, data, evaluation_func):
"""Evaluate a single hyperparameter combination."""
result = evaluation_func(hp_combination, data)
return {**hp_combination, **result}
# Define hyperparameter grid
param_grid = {
'min_samples': [3, 4, 5, 6, 7, 8, 9],
'epsilon': [4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24],
'shape_weight': [0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9]
}
# Generate all combinations
combinations = [
{k: v for k, v in zip(param_grid.keys(), vals)}
for vals in itertools.product(*param_grid.values())
]
# Parallel evaluation
n_jobs = -1 # Use all available cores
results = Parallel(n_jobs=n_jobs, verbose=10)(
delayed(evaluate_hyperparams)(combo, data, eval_func)
for combo in combinations
)
```
## Advanced: Batching and Progress
```python
from tqdm import tqdm
…Read the whole file at its exact version.
How to install
mdr add cxcscmu/skilllearnbench/parallel-grid-search@sha256:e6bf8ca879aa45a1The line at the top of this page pins the label git:20260424.d50cf5a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_v4ahlb6syasrvg4r)
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Versions
The registry has recorded 1 version of this file, committed on Apr 24, 2026.
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Source
cxcscmu/skilllearnbench · 91 stars · license MIT · pushed 2026-10-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_v4ahlb6syasrvg4r GET https://markdownregistry.com/api/v1/resolve?ref=cxcscmu/skilllearnbench/parallel-grid-search GET https://markdownregistry.com/api/v1/blob/e6bf8ca879aa45a16dbb37500ebcb7b22ddecb9197802640ec48b2f0b6951ce4
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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