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Awesome GitHub RepositoriesOptimization State Persistence
Relational database-backed storage for trial history and study metadata.
Distinct from Relational Database Persistence: Distinct from Relational Database Persistence: focuses on the persistence of optimization study state and trial history.
Explore 1 awesome GitHub repository matching data & databases · Optimization State Persistence. Refine with filters or upvote what's useful.
Awesome Optimization State Persistence GitHub Repositories
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- optuna/optuna
optuna/optuna
14,388Vezi pe 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
Stores trial history and study metadata in external databases to enable distributed execution and cross-session persistence.
Pythondistributedhyperparameter-optimizationmachine-learning
