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Awesome GitHub RepositoriesHyperparameter Suggestions
Interfaces for requesting parameter values for evaluation during the optimization process.
Distinct from Hyperparameter Optimizers: Distinct from hyperparameter optimizers: focuses on the suggestion interface within the objective function.
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Awesome Hyperparameter Suggestions GitHub Repositories
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- optuna/optuna
optuna/optuna
14,388Voir sur GitHubOptuna is a Python-based hyperparameter optimization framework designed to automate the search for optimal machine learning model configurations. It functions as a Bayesian optimization library that systematically tests parameter combinations to maximize or minimize objective functions, streamlining the model development process through iterative evaluation. The project distinguishes itself through a define-by-run dynamic construction model, which allows users to build complex, conditional search spaces using standard programming logic. Its architecture is highly modular, featuring a pluggabl
Provides an interface within an objective function to request parameter values for evaluation during optimization.
Pythondistributedhyperparameter-optimizationmachine-learning
