1 个仓库
Awesome GitHub RepositoriesExecution Command Generation
Generation of commands to run automated ML searches across multiple datasets.
Distinct from Model Configuration Settings: Generates execution commands for batch runs rather than adjusting operational settings for a single model.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Execution Command Generation. Refine with filters or upvote what's useful.
Awesome Execution Command Generation GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- automl/auto-sklearn
automl/auto-sklearn
8,111在 GitHub 上查看This is a scikit-learn automated machine learning framework designed to optimize model selection and hyperparameters. It functions as an automated model selector and hyperparameter optimization tool for classification and regression tasks, utilizing an automated ensemble builder to combine high-performing models for increased predictive accuracy. The system features a distributed search engine that uses Dask for parallel machine learning optimization across CPU cores or clusters. It implements a budget-based evaluation strategy through successive halving to prioritize promising model configur
Creates execution commands to run automated machine learning across multiple datasets with specific time budgets.
Python
