1 个仓库
Awesome GitHub RepositoriesSingle Configuration Fitting
Evaluating a specific model configuration without running a full automated search.
Distinct from Machine Learning Evaluation: Focuses on the manual fitting of one configuration instead of a general comparative analysis.
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Awesome Single Configuration Fitting GitHub Repositories
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- 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
Evaluates a specific model and hyperparameter set without executing a full automated search.
Python
