Parallel processing
Parallel processing with joblib to speed up computationally intensive parameter grid searches.From its SKILL.md
npx -y skills add cxcscmu/SkillLearnBench --skill parallel-processingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
0.7 KB, 150 tokens by cl100k_base, as published. Nobody here has run it
Parallel Processing with joblib
joblib is highly optimized for Python parallel processing, especially for numpy arrays and independent tasks like grid search.
Setup
pip install joblib
Usage
from joblib import Parallel, delayed
def evaluate_params(param1, param2):
# Intensive computation
return param1 + param2, param1 * param2
params_list = [(1, 2), (3, 4), (5, 6)]
results = Parallel(n_jobs=-1)(
delayed(evaluate_params)(p1, p2) for p1, p2 in params_list
)
This pattern perfectly fits hyperparameter grid searches.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.