| TPE Sampler |
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Sampler using TPE (Tree-structured Parzen Estimator) algorithm. |
| Timeline Plot |
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 Plot the timeline of a study. |
| Terminator Improvement Plot |
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 Plot the potentials for future objective improvement. |
| Slice Plot |
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 Plot the parameter relationship as slice plot in a study. |
| Rank Plot |
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 Plot parameter relations as scatter plots with colors indicating ranks of target value. |
| Random Search |
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Sampler using random sampling. |
| QMC Search |
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Sampler using Quasi Monte Carlo sampling. |
| PyCMA Sampler |
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A CMA-ES Sampler using cma library as the backend. |
| Percentile Pruner |
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Pruner to keep the specified percentile of the trials. |
| Partial Fixed Sampler |
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Sampler with partially fixed parameters. |
| Pareto-front Plot |
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 Plot the Pareto front of a study. |
| Parallel Coordinate Plot |
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 Plot the high-dimensional parameter relationships in a study. |
| Optimization History Plot |
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 Plot optimization history of all trials in a study. |
| NSGAIII Search |
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Sampler using NSGAIII algotithm. |
| NSGAII Search |
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Sampler using NSGAII algotithm. |
| Median Pruner |
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Pruner using the median stopping rule. |
| Intermediate Values Plot |
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 Plot intermediate values of all trials in a study. |
| Hypervolume History Plot |
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 Plot hypervolume history of all trials in a study. |
| Hyperparameter Importances Plot |
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 Plot hyperparameter importances. |
| Grid Search |
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Sampler using grid search. |
| Gaussian Process-Based Sampler |
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Sampler using Gaussian process-based Bayesian optimization. |
| Empirical Distribution Function Plot |
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 Plot the objective value EDF (empirical distribution function) of a study. |
| Contour Plot |
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 Plot the parameter relationship as contour plot in a study. |
| CMA-ES Sampler |
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A sampler using cmaes as the backend. |
| Brute Force Search |
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Sampler using brute force. |
| BoTorch Sampler |
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A Sampler using botorch library as the backend. |